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README.md

Original

Time-Series Works and Conferences

About Me (Du Yin)

I am a Ph.D. student in the School of Computer Science and Engineering (CSE) at UNSW Sydney, Australia, where I am fortunate to be co-supervised by Prof. Flora Salim and Dr. Hao Xue.

My research is driven by a strong passion for Time-Series Research and Deep Learning. Currently, my work focuses on developing next-generation Time-Series Foundation Models (TSFMs), generative modeling, and scalable frameworks for complex temporal and spatio-temporal data mining.

Prior to joining UNSW, I received my Master's degree, during which I had the privilege of being advised by Prof. Xuan Song, Dr. Quanjun Chen, and Prof. Renhe Jiang.

Backlog (To do):

Recent Time Series Works Grouped by Task

Multivariat Time Series Forecasting

Task Data Model Paper Code Publication
Foundation
Multivariat
TimesNet Olivia Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density None ICML
2026
Foundation
Multivariat
TimesNet Time-PEFT Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models None ICML
2026
Foundation
Multivariat
TimesNet Universal Redundancies in Time Series Foundation Models Code
Stars
Forks
ICML
2026
LLM
Reasoning
TimesNet VeriTime Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning None ICML
2026
LLM
Medical
HAR-CoT
Sleep-CoT
ECG-QA
MIMIC
OpenTSLM OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data Code
Stars
Forks
ICML
2026
LLM
Benchmark
Health TS HEARTS HEARTS: Benchmarking LLM Reasoning on Health Time Series Code
Stars
Forks
ICML
2026
Position TimesNet Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks None ICML
2026
Foundation
Benchmark
ZTF StarEmbed StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars Code
Stars
Forks
ICML
2026
Physiological MIMIC
PhysioNet
Self-Supervised Dynamical System Representations for Physiological Time-Series Code
Stars
Forks
ICML
2026
Dataset
Condensat
TimesNet One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis None ICML
2026
Foundation
Multivariat
TimesNet Zeus Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis None ICML
2026
Dataset
Multimodal
TelecomTS TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Code
Stars
Forks
ICML
2026
Multimodal
Alignment
TimesNet Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces None ICML
2026
Multivariat TimesNet L-Drive L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet ConFlux ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence None ICML
2026
Multivariat TimesNet PESD-TSF PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting None ICML
2026
Multivariat TimesNet Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting None ICML
2026
Benchmark TimesNet TIME It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks Code
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNet DropoutTS DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet Time-series forecasting through the lens of dynamics Code
Stars
Forks
ICML
2026
Weather
Benchmark
WEATHER-5K Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting Code
Stars
Forks
ICML
2026
Efficient
Multivariat
TimesNet BPE Byte Pair Encoding for Efficient Time Series Forecasting None ICML
2026
Backdoor
Defense
TimesNet TimeGuard TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Code
Stars
Forks
ICML
2026
Counterfac TimesNet What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions None ICML
2026
Distillation TimesNet Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation None ICML
2026
Foundation
Multivariat
TimesNet Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting None ICML
2026
Multivariat TimesNet Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting None ICML
2026
Source-Free
Multivariat
TimesNet TimePD Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising Code
Stars
Forks
ICML
2026
Multivariat TimesNet FIPN FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting None ICML
2026
Multivariat TimesNet DMANet Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting Code
Stars
Forks
ICML
2026
Non-stationary
Multivariat
TimesNet DSENet DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting None ICML
2026
Multivariat TimesNet Crisp Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting None ICML
2026
Analysis TimesNet Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet KITE KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables None ICML
2026
LLM
Multivariat
TimesNet TsLLM TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction None ICML
2026
Multivariat TimesNet ReNF ReNF: Rethinking the Principles of Neural Long-Term Time Series Forecasters Code
Stars
Forks
ICML
2026
Multivariat TimesNet Reviving Error Correction in Modern Deep Time-Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet MemCast MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning Code
Stars
Forks
ICML
2026
Adversarial
Multivariat
TimesNet TSFAdv TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting None ICML
2026
Non-stationary
Multivariat
TimesNet Dynamic
TMoE
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet Fern Ellipsoidal Time Series Forecasting None ICML
2026
Generative
Multivariat
TimesNet CoGenCast CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet StretchTime StretchTime: Adaptive Time Series Forecasting via Symplectic Attention None ICML
2026
Robust
Multivariat
TimesNet Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment None ICML
2026
Analysis TimesNet CombiTS CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models Code
Stars
Forks
ICML
2026
Foundation
Multivariat
TimesNet See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling Code
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNet TameR Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context Code
Stars
Forks
ICML
2026
Multivariat TimesNet KineFlow KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting None ICML
2026
Multivariat TimesNet LatentTSF From Observations to States: Latent Time Series Forecasting Code
Stars
Forks
ICML
2026
Foundation
Multivariat
TimesNet Baguan-TS Baguan-TS: dual in-context learning model for time series forecasting with covariates None ICML
2026
Position TimesNet Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting Code
Stars
Forks
ICML
2026
LLM
Multivariat
TimesNet TimeMRA TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations None ICML
2026
Multimodal
Evaluation
TimesNet Rethinking Multimodal Time-Series Forecasting Evaluation None ICML
2026
Irregular
Multivariat
TimesNet TFMixer Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting None ICML
2026
Multivariat TimesNet DAG DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables Code
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNet SEER SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement None ICML
2026
Multivariat TimesNet TimeSeed TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables None ICML
2026
Multivariat TimesNet Information Geometry Loss for Time Series Forecasting None ICML
2026
Multivariat TimesNet KUMA KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting None ICML
2026
Scaling
Multivariat
TimesNet Revealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting None ICML
2026
Non-stationary
Multivariat
TimesNet PULSE PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Code
Stars
Forks
ICML
2026
Diffusion
Multivariat
TimesNet Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting None ICML
2026
Irregular
Medical
MIMIC MoRGEN MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data None ICML
2026
Multivariat TimesNet MixLinear MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with Parameters Code
Stars
Forks
ICLR
2026
Multivariat TimesNet CoRA CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter Code
Stars
Forks
ICLR
2026
Multivariat TimesNet PHAT PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Numerion Numerion: A Multi-Hypercomplex Model for Time Series Forecasting None ICLR
2026
Multivariat TimesNet COSA COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet CPiRi CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet GTR Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval Code
Stars
Forks
ICLR
2026
Multivariat TimesNet TimeAli Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling Code
Stars
Forks
ICLR
2026
Multivariat TimesNet GCGNet GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting None ICLR
2026
Multivariat TimesNet MMPD MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss Code
Stars
Forks
ICLR
2026
Robust
Multivariat
TimesNet Local Geometry Attention for Time Series Forecasting under Realistic Corruptions Code
Stars
Forks
ICLR
2026
Multivariat TimesNet FACT FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
Aurora Aurora: Towards Universal Generative Multimodal Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet The Forecast After the Forecast: A Post-Processing Shift in Time Series Code
Stars
Forks
ICLR
2026
Multivariat TimesNet ADAPT-Z Online time series prediction using feature adjustment Code
Stars
Forks
ICLR
2026
Robust
Multivariat
ETT
Weather
EPA-Air
CTF Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness Code
Stars
Forks
ICLR
2026
Multivariat TimesNet xCPD Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition Code
Stars
Forks
ICLR
2026
Irregular
Multivariat
ASTGI ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet ProtoTS ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet PhaseFormer PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting Code
Stars
Forks
ICLR
2026
Irregular
Multivariat
ReIMTS Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet SE-LLM Semantic-Enhanced Time-Series Forecasting via Large Language Models Code
Stars
Forks
ICLR
2026
Analysis TimesNet TimeRecipe TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Code
Stars
Forks
ICLR
2026
Multivariat TimesNet ShifTS Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift Code
Stars
Forks
ICLR
2026
Multivariat TimesNet QDF Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Code
Stars
Forks
ICLR
2026
Multivariat TimesNet DistDF DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment Code
Stars
Forks
ICLR
2026
Traffic NGSIM
HighD
Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction None ICLR
2026
Evolve
Traffic
METR-LA
PEMS
STBP A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting Code
Stars
Forks
ICLR
2026
Analysis TimesNet Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet UniCA UniCA: Unified Covariate Adaptation for Time Series Foundation Model Code
Stars
Forks
ICLR
2026
Multivariat TimesNet TimeOmni-1 TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models Code
Stars
Forks
ICLR
2026
FL
Foundation
TimesNet FeDaL FeDaL: Federated Dataset Learning for General Time Series Foundation Models Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet SwiftTS SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet SFF Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet GTM GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis Code
Stars
Forks
ICLR
2026
Multivariat TimesNet AutoDA AutoDA-Timeseries: Automated Data Augmentation for Time Series Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet TS-Memory TS-Memory: Plug-and-Play Memory for Time Series Foundation Models Code
Stars
Forks
KDD
2026
Multivariat Eliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet CCD CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet STM3 STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Code
Stars
Forks
KDD
2026
Multivariat TimesNet CAST-Norm CAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet RePatch RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting Code
Stars
Forks
KDD
2026
Traffic LargeST STUNet Unified Spatio-Temporal Tokens are Bases for Generalizable Traffic Forecasting Code
Stars
Forks
KDD
2026
Traffic PEMS HURST HURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-Experts None KDD
2026
Multivariat TimesNet SARAF Stationarity-Aware Retrieval-Augmented Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet TS-MTM TS-MTM: Temporal-Spectral Masked Time-Series Modeling for Forecasting Code
Stars
Forks
KDD
2026
Traffic PEMS Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction Code
Stars
Forks
KDD
2026
Multivariat Orbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal Graph Code
Stars
Forks
KDD
2026
Multivariat TimesNet One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data None KDD
2026
Multivariat GODM GODM: Graph Orthogonal Diffusion Models for Spatio-Temporal Forecasting Code KDD
2026
Multivariat TimesNet FAiT FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting Code KDD
2026
Multivariat Invariant Structure Learning with Pre-trained Language Models for Spatio-temporal Graph Code
Stars
Forks
KDD
2026
Traffic NYC
Washington DC
Chicago
FreMo Frequency-Domain Multi-Modality Transportation Modeling Code
Stars
Forks
KDD
2026
Multivariat TimesNet PatchCLE PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning Code
Stars
Forks
KDD
2026
Foundation
Multivariat
TimesNet MEMTS MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models None KDD
2026
Multivariat TimesNet Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting Code
Stars
Forks
KDD
2026
Traffic PeMSD4
PeMSD8
FT-AED
HK-Traffic
FedTT FedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge Transfer Code KDD
2026
Multivariat TimesNet Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet Efficient Test-Time Scaling for LLM-based Time Series Forecasting Code
Stars
Forks
KDD
2026
Domain
Forecasting
TimesNet Aura Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series None KDD
2026
Foundation
Multivariat
EpiRecipe
US disease surveillance
CAPE Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet DSPR DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting None KDD
2026
Domain
Forecasting
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction Code
Stars
Forks
KDD
2026
Foundation
Multivariat
Meteorology
Carbon flux
Soil moisture
Energy grid
Guard When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting Code
Stars
Forks
KDD
2026
Foundation
Multivariat
UrbanFM UrbanFM: Scaling Urban Spatio-Temporal Foundation Models None KDD
2026
Traffic CHITaxi
WSHTaxi
CHIBike
PeMS
CSSG CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity Code
Stars
Forks
KDD
2026
Traffic PEMS MoST MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction Code KDD
2026
Multivariat FaST FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts Code
Stars
Forks
KDD
2026
Traffic PEMS Incident-Guided Spatiotemporal Traffic Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet TimeDistill TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation Code
Stars
Forks
KDD
2026
Multivariat TimesNet LoFT-LLM LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models Code
Stars
Forks
KDD
2026
Multivariat TimesNet Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements None KDD
2026
Multivariat TimesNet How to Train Your Mamba for Time Series Forecasting None KDD
2026
Traffic PEMS Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting Code
Stars
Forks
KDD
2026
Traffic PEMS ChannelMTS ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction None KDD
2026
Foundation
Multivariat
Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model None WWW
2026
Multivariat TimesNet Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models None WWW
2026
Multivariat TimesNet Automated Model Selection for Multivariate Time Series Forecasting None WWW
2026
Multivariat TimesNet GFMixer GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat TimesNet CRAFT Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective None WWW
2026
Multivariat TimesNet DynaME Dynamic Multi-period Experts for Online Time Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat TimesNet Re-Diffusion Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting None WWW
2026
FL
Multivariat
TimesNet FedRMamba FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting None WWW
2026
Multivariat Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting None WWW
2026
Multivariat Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models Code
Stars
Forks
WWW
2026
Multivariat TimesNet Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat TimesNet Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS Code
Stars
Forks
WWW
2026
Foundation
Multivariat
TimesNet QuiZSF QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting None WWW
2026
Multivariat TimesNet SEMixer SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat Time-TK Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat TimesNet Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning None WWW
2026
Multivariat TimesNet EEO-TFV EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis None WWW
2026
Multivariat TimesNet Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting Code
Stars
Forks
WWW
2026
Traffic NYC
PeMS
PLM-CUP Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis Code
Stars
Forks
AAAI
2026
Traffic PEMS03
PEMS04
PEMS07
PEMS08
MetaDG Meta Dynamic Graph for Traffic Flow Prediction Code
Stars
Forks
AAAI
2026
FL
Traffic
HZMetro
SHMetro
NYC-Bike
NYC-Taxi
FedSTGD Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting None AAAI
2026
FL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
FedHINT Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction Code
Stars
Forks
AAAI
2026
Traffic PEMS03
PEMS04
PEMS07
PEMS08
HyperD HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting Code
Stars
Forks
AAAI
2026
Traffic PEMS07
PEMS08
PEMS-BAY
METR-LA
Melbourne
GenCast Generalising Traffic Forecasting to Regions Without Traffic Observations Code
Stars
Forks
AAAI
2026
Traffic
Kriging
PEMS03
PEMS04
PEMS-BAY
AIR36
USHCN
DarkFarseer DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise Code
Stars
Forks
AAAI
2026
ST
Estimation
JNTaxi
JHSales
BJAir
METR-LA
PEMS08
WaveDiST WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations Code
Stars
Forks
AAAI
2026
FL
Traffic
METR-LA
PEMS04
PEMS07
PEMS08
PEMS-BAY
SC-FSGL Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs None AAAI
2026
Multivariat TimesNet ReCast ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting None AAAI
2026
Multivariat TimesNet TimeCAP TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting Code
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Forks
AAAI
2026
Multivariat TimesNet CometNet CometNet: Contextual Motif-guided Long-term Time Series Forecasting None AAAI
2026
Multivariat ETT
Weather
ECL
Traffic
PEMS
IdealTSF IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? Code
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Forks
AAAI
2026
Irregular
Multivariat
APN Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting Code
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Forks
AAAI
2026
Multivariat TimesNet Goal-Oriented Time-Series Forecasting: Foundation Framework Design Code
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AAAI
2026
Multivariat TimesNet MDMLP-EIA MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting Code
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Forks
AAAI
2026
Multivariat TimesNet Sonnet Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting Code
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Forks
AAAI
2026
FL
Multivariat
FedSkeleton FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting Code
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Forks
AAAI
2026
Multivariat TimesNet T3Time T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion Code
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Forks
AAAI
2026
Multivariat TimesNet FreDN FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition Code
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Forks
AAAI
2026
Multivariat TimesNet OccamVTS OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting Code
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Forks
AAAI
2026
Multivariat ETT
ECL
Traffic
Weather
DTAF Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing Code
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Forks
AAAI
2026
Multivariat TimesNet TimeMosaic TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding Code
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AAAI
2026
Multivariat TimesNet XLinear XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs Code
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Forks
AAAI
2026
Attack
Multivariat
TimesNet TDBA Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting Code
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Forks
AAAI
2026
Multivariat TimesNet DeepBooTS DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting Code
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Forks
AAAI
2026
Multivariat TimesNet EMAformer EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting Code
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Forks
AAAI
2026
FL
Multivariat
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning None AAAI
2026
Multivariat TimesNet M2FMoE M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting Code
Stars
Forks
AAAI
2026
Irregular
Multivariat
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline Code
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Forks
AAAI
2026
Multivariat TimesNet HN-MVTS HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting Code
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AAAI
2026
Multivariat TimesNet APT APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift Code
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AAAI
2026
Multivariat TimesNet FreqCycle FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting Code
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AAAI
2026
Foundation
Multivariat
TimesNet ORTCL ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation None AAAI
2026
Multivariat TimesNet GraFT GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting None AAAI
2026
Multivariat TimesNet STrans STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting None AAAI
2026
Multivariat TimesNet FeTS FeTS: A Feature-Aware Framework for Time Series Forecasting Code
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AAAI
2026
Multivariat TimesNet Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting Code
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AAAI
2026
Multivariat TimesNet M3Time M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting None AAAI
2026
Multivariat TimesNet TimePMG TimePMG: LLM-Based Time Series Forecasting with Period-Aware Multi-Scale Decomposition and Group-Wise Alignment None AAAI
2026
Multivariat TimesNet ProCAST ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting Code
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AAAI
2026
Multivariat TimesNet Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-local Representation Synergy in Multivariate Time Series Forecasting Code
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Forks
AAAI
2026
Multivariat ETT
Electricity
Traffic
CA
Harmonic Dataset Distillation for Time Series Forecasting None AAAI
2026
Multivariat TimesNet SEMPO SEMPO: Lightweight Foundation Models for Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet TARFVAE TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE Code
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Forks
NIPS
2025
Multivariat TimesNet MAFS Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation Code
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Forks
NIPS
2025
Multivariat TimesNet TimeXL TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop None NIPS
2025
Multivariat TimesNet DMMV Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting Code
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NIPS
2025
Multivariat TimesNet xLSTM-Mixer xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Code
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Forks
NIPS
2025
Multivariat TimesNet TFPS Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift Code
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Forks
NIPS
2025
Multivariat TimesNet SymTime Synthetic Series-Symbol Data Generation for Time Series Foundation Models Code
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Forks
NIPS
2025
Multivariat TimesNet OLinear OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Code
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Forks
NIPS
2025
Multivariat TimesNet TimeEmb TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet Time-o1 Time-o1: Time-Series Forecasting Needs Transformed Label Alignment Code
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Forks
NIPS
2025
Multivariat TimesNet TimePerceiver TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet MSFT Multi-Scale Finetuning for Encoder-based Time Series Foundation Models Code
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Forks
NIPS
2025
Multivariat TimesNet DBLoss DBLoss: Decomposition-based Loss Function for Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet SRSNet Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective Code
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Forks
NIPS
2025
Multivariat TimesNet IF Towards Accurate Time Series Forecasting via Implicit Decoding Code
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Forks
NIPS
2025
Multivariat Zero Shot TimesNet TS-RAG TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster Code
Stars
Forks
NIPS
2025
Multivariat Traffic TimesNet PEMS03
PEMS04
PEMS07
PEMS08
PIR Improving Time Series Forecasting via Instance-aware Post-hoc Revision Code
Stars
Forks
NIPS
2025
Multivariat Traffic Wind
Temp
PM25
STELLA On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet AliO AliO: Output Alignment Matters in Long-Term Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet TOTO This Time is Different: An Observability Perspective on Time Series Foundation Models Code NIPS
2025
Multivariat TimesNet MoFo MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling Code
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Forks
NIPS
2025
Multivariat TimesNet Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning Code
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Forks
NIPS
2025
Multivariat TimesNet PIH Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet SCAM Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting Code
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Forks
NIPS
2025
ST SSL PEMS03
PEMS04
PEMS07
PEMS07(M)
METR-LA
PEMS-BAY
ST-SSDL How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning Code
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Forks
NIPS
2025
Multivariat TimesNet DecompNet DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition Code
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Forks
NIPS
2025
Multivariat TimesNet
other
S2TS-LLM Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation Code
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Forks
NIPS
2025
Multivariat TimesNet MSFT Multi-Scale Finetuning for Encoder-based Time Series Foundation Models Code
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Forks
NIPS
2025
Multivariat TimesNet AMRC Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency Code
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Forks
NIPS
2025
Multivariat TimesNet SL Selective Learning for Deep Time Series Forecasting Code
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Forks
NIPS
2025
Multivariat TimesNet LightGTS LightGTS: A Lightweight General Time Series Forecasting Model Code
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Forks
ICML
2025
Multivariat TimesNet LETS LETS Forecast: Learning Embedology for Time Series Forecasting Code
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Forks
ICML
2025
Multivariat TimesNet TimeBase TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting Code
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Forks
ICML
2025
Multivariat TimesNet RAFT Retrieval Augmented Time Series Forecasting Code
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Forks
ICML
2025
Multivariat TimesNet CN Channel Normalization for Time Series Channel Identification Code
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Forks
ICML
2025
Multivariat TimesNet TimeBridge TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting Code
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Forks
ICML
2025
Multivariat TimesNet TimeStacker TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting None ICML
2025
Multivariat TimesNet WaveToken Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization Code ICML
2025
Multivariat TimesNet Moirai-MoE Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Code
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Forks
ICML
2025
Multivariat TimesNet In-Context Fine-Tuning for Time-Series Foundation Models None ICML
2025
Multivariat TimesNet SKOLR SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting Code
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Forks
ICML
2025
Multivariat ECL
Nottingham
FSTLLM FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting Code
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Forks
ICML
2025
Traffic NYC
CHI
SIP
SD
SynEVO SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation Code
Stars
Forks
ICML
2025
Traffic
ST
ETT
ECL
RSTIB Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting Code
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Forks
ICML
2025
Multivariat ETT
Weather
ECL
Exchange
PatchLoss Patch-wise Structural Loss for Time Series Forecasting Code
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Forks
ICML
2025
Foundation
Multivariat
Monash
UEA
UCR
ROSE Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer None ICML
2025
Multivariat ETT
ECL
Exchange
MoF Slimming the Fat-Tail: MoF for Adaptive Time Series Modeling None ICML
2025
Multivariat TimesNet CMoS CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations Code
Stars
Forks
ICML
2025
Analysis Synthetic
ECG5000
Exploring Representations and Interventions in Time Series Foundation Models Code
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Forks
ICML
2025
Multivariat TimesNet CFPT CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling Code
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Forks
ICML
2025
Multivariat TimesNet TimePro TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state Code
Stars
Forks
ICML
2025
Traffic ETT
Traffic
ECL
Weather
Solar
PEMS
TimeFilter TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Code
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Forks
ICML
2025
Multivariat TimesNet Time-VLM Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting Code
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Forks
ICML
2025
Multivariat TimesNet LangTime LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization Code
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ICML
2025
Irregular
Multivariat
MuJoCo
MIMIC
USHCN
ShiftingTime Shifting time: Time-series forecasting with Khatri-Rao neural operators Code
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Forks
ICML
2025
Foundation
Multivariat
TimesNet Lightweight Online Adaption for Time Series Foundation Model Forecasts None ICML
2025
Multivariat TimesNet CNDiff Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting Code
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Forks
ICML
2025
Analysis ECL
ETT
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle Code
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Forks
ICML
2025
Multivariat TimesNet TQNet Temporal Query Network for Efficient Multivariate Time Series Forecasting Code
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ICML
2025
Multivariat TimesNet WAVE WAVE: Weighted Autoregressive Varing Gate for Time Series Forecasting Code
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Forks
ICML
2025
Foundation
Multivariat
Sundial Sundial: A Family of Highly Capable Time Series Foundation Models Code
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Forks
ICML
2025
Foundation
Zero Shot
GIFT-EVAL VisionTS VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters Code
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Forks
ICML
2025
Multivariat TimesNet TimeFuse Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Code
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Forks
ICML
2025
Irregular
Multivariat
PhysioNet
MIMIC-III
HAR
USHCN
Hi-Patch Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series Code
Stars
Forks
ICML
2025
Irregular
Multivariat
MIMIC-III
MIMIC-IV
PhysioNet
HAR
USHCN
HyperIMTS HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Code
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Forks
ICML
2025
Irregular
Multivariat
VIMTS IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction Code
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Forks
ICML
2025
Evolve Traffic Air-Str
PEMS-Str
Energy-Str
EAC Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting Code
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Forks
ICLR
2025
Multivariat TimesNet TimeMixer++ TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Code
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Forks
ICLR
2025
Multivariat TimesNet Time-MoE Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Code
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ICLR
2025
Multivariat TimesNet TVNet TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation Code
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Forks
ICLR
2025
Multivariat TimesNet TimeKAN TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Code
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ICLR
2025
Multivariat TimesNet ICTSP In-context Time Series Predictor Code
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Forks
ICLR
2025
Multivariat TimesNet FSCA Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series](https://openreview.net/forum?id=syC2764fPc) Code
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ICLR
2025
Multivariat TimesNet SimpleTM SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting](https://openreview.net/forum?id=oANkBaVci5) Code
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2025
Multivariat TimesNet Towards Neural Scaling Laws for Time Series Foundation Models](https://openreview.net/forum?id=uCqxDfLYrB) Code
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Forks
ICLR
2025
Multivariat TimesNet Timer-XL Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Code
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ICLR
2025
Multivariat TimesNet LCESN Locally Connected Echo State Networks for Time Series Forecasting Code
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Forks
ICLR
2025
Traffic PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
PEMS-BAY
...
AutoSTF AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting Code
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Forks
KDD
2025
Traffic LargeST PatchSTG Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective Code
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Forks
KDD
2025
Traffic CHITaxi
CHIBike
WSHBike
NYBike
ProST ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction None KDD
2025
Traffic
unseen
NYCTaxi
NYCBike
BJTaxi
STEVE Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction Code
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Forks
KDD
2025
Multivariat TimesNet DUET DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting Code
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Forks
KDD
2025
Multivariat TimesNet TSFM-Bench TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting Code
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Forks
KDD
2025
Multivariat TimesNet QuantumTime Quantum Time-index Models with Reservoir for Time Series Forecasting Code
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KDD
2025
Multivariat TimesNet ST-MTM ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting Code
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Forks
KDD
2025
Multivariat TimesNet CMA CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction Code
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KDD
2025
Multivariat TimesNet CrossLinear CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables Code
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KDD
2025
Multivariat TimesNet BLAST BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models Code
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Forks
KDD
2025
Multivariat TimesNet TimeCapsule TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations Code
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2025
Multivariat TimesNet MoA Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting Code
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Forks
KDD
2025
Multivariat TimesNet SDE SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting Code
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KDD
2025
Traffic BIKE
PEMS03
BJ500
METR-LA
STH-SepNet Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs Code
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Forks
KDD
2025
Evolve Traffic Electricity
PeMS
Weather
STEV Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning Code
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Forks
KDD
2025
Traffic PEMS04
PEMS08
METR-LA
STDN Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting Code
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Forks
AAAI
2025
Metro Traffic PEMS
Urban Rail
ReDyNet Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting Code
Stars
Forks
AAAI
2025
Traffic PEMS03
PEMS04
PEMS07
PEMS08
STSGNN Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling Code
Stars
Forks
AAAI
2025
Foundation
Traffic
PEMS03
PEMS04
METR-LA
STD-PLM STD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLM Code
Stars
Forks
AAAI
2025
Inductive
Traffic
PEMS03
PEMS04
METR-LA
ST-FiT ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data Code
Stars
Forks
AAAI
2025
Traffic
Distillation
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
LightST Efficient Traffic Prediction through Spatio-Temporal Distillation Code
Stars
Forks
AAAI
2025
FL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
FUELS Personalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach None AAAI
2025
ST SSL
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
SSL-STMFormer SSL-STMFormer: Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow Prediction Code
Stars
Forks
AAAI
2025
Fairness
Traffic
PEMS04
PEMS08
METR-LA
FairTP FairTP: A Prolonged Fairness Framework for Traffic Prediction Code
Stars
Forks
AAAI
2025
SSL
Pretrain
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
ST-ReP ST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal Forecasting Code
Stars
Forks
AAAI
2025
Long-term
Traffic
PEMS03
PEMS04
PEMS07
PEMS08
METR-LA
DST-Mamba Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction Code
Stars
Forks
AAAI
2025
CrossCity
Traffic
PEMS03
PEMS04
PEMS08
TSJT Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting None AAAI
2025
Multivariat ETT
Weather
ECL
Traffic
Exchange
ILI
Solar
HCAN Hierarchical Classification Auxiliary Network for Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet TimeCMA TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment Code
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Forks
AAAI
2025
Multivariat ETT
Weather
Solar
ECL
Traffic
AMD Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet Times2D Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet VarDrop VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting Code
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2025
Multivariat TimesNet PatchMLP Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet Amplifier Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting Code
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Forks
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2025
Multivariat TimesNet P-sLSTM Unlocking the Power of LSTM for Long Term Time Series Forecasting Code
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2025
Multivariat TimesNet Apollo-Forecast Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet TAFAS Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation Code
Stars
Forks
AAAI
2025
Multivariat ETT
Weather
ECL
Traffic
Solar
Stock
Exchange
ARMD Auto-Regressive Moving Diffusion Models for Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet xPatch xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition Code
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Forks
AAAI
2025
Multivariat ETT
ECL
Exchange
Traffic
Weather
Affirm Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat ETT
Weather
ECL
LSINet A Lightweight Sparse Interaction Network for Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat Solar
ECL
Traffic
Taxi
Wikipedia
HDT HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet HyperMixer HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting None AAAI
2025
Multivariat TimesNet FilterTS FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet WaveletMixer WaveletMixer: A Multi-resolution Wavelets Based MLP-Mixer For Multivariate Long-term Time Series Forecasting None AAAI
2025
Multivariat ETT
Weather
ECL
TimePFN TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Code
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Forks
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2025
Multivariat ETT
ECL
Exchange
ILI
Solar
Traffic
Weather
WPMixer WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet FSatten Revisiting Attention for Multivariate Time Series Forecasting Code
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Forks
AAAI
2025
Multivariat TimesNet SeqComplementor Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences None AAAI
2025
Multivariat TimesNet CALF CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Code
Stars
Forks
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2025
Multivariat ETT
Weather
ECL
Solar
CSformer CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting None AAAI
2025
Multivariat ECL
Exchange
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Multivariat TimesNet HRCformer HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting None CIKM
2025
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2025
Multivariat TimesNet EAPformer Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting Code
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Multivariat TimesNet MillGNN MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting None CIKM
2025
Multivariat TimesNet MSOFormer MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting None CIKM
2025
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2025
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2025
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2025
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2025
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2025
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Traffic PEMS07(M)
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2025
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MultiGran Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes None CIKM
2025
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2025
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2024
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Multivariat TimesNet Attraos Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Code
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2024
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2024
Multivariat TimesNet TimeXer TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables Code
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2024
Multivariat TimesNet MiTSformer Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment Code
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Multivariat TimesNet TTMs Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Code
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2024
Multivariat TimesNet Peri-midF Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis Code
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Multivariat TimesNet CCM From Similarity to Superiority: Channel Clustering for Time Series Forecasting Code
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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Traffic
Weather
ILI
MICN MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting Code
Stars
Forks
ICLR
2023
Multivariat ETT
Weather
Electricity
ILI
Traffic
Crossformer Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2023
Forecast
Imputation
Classifi
AnomalyDet
ETT
M4
Electricity
Weather
SMD,MSL
SMAP,SWaT
PSM
TimesNet TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Code
Stars
Forks
ICLR
2023
Multivariat Meta-SSM Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting Code
Stars
Forks
ICLR
2023
Multivariat ETT
Electricity
Traffic
Weather
FSNet Learning Fast and Slow for Time Series Forecasting Code
Stars
Forks
ICLR
2023
Robust
Multivariat
Traffic
Taxi
Wiki
Electricity
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms Amazon ICLR
2023
Multivariat Electricity
Crypto
M4
Traffic
Exchange
KNF Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts Code
Stars
Forks
ICLR
2023
Multivariat ETT
Weather
Electricity
Traffic
Exchange
SpaceTime Effectively Modeling Time Series with Simple Discrete State Spaces Code
Stars
Forks
ICLR
2023
Multivariat Weather
Traffic
Electricity
ILI
ETT
PatchTST A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Code
Stars
Forks
ICLR
2023
Multivariat Exchange
Weather
Electricity
Traffic
ILI
Scaleformer Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Code
Stars
Forks
ICLR
2023
Multivariat
classifica
AnomalyDec
Electricity
Weather
ETTm1
MSL
SMD
SMAP
SBT Sparse Binary Transformers for Multivariate Time Series Modeling Code
Stars
Forks
KDD
2023
Multivariat SIP
METR-LA
KnowAir
Electricity
CauSTG Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning Code
Stars
Forks
KDD
2023
Robust
Multivariat
PEMS-BAY
PEMS04
RDAT Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training Code
Stars
Forks
KDD
2023
Multivariat Beijing
Chengdu
Harbin
Frigate Frigate: Frugal Spatio-temporal Forecasting on Road Networks Code
Stars
Forks
KDD
2023
Multivariat XC-Traffic
NYC-Traffic
GCIM Generative Causal Interpretation Model for Spatio-Temporal Representation Learning None KDD
2023
Multivariat Tourism
Labour
Wiki
Flu-Symptoms
FB-Survey
PROFHiT When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting Code
Stars
Forks
KDD
2023
Multivariat
Under Miss
AQI-36
AQI
PEMS-BAY
CER-E
Healthcare
SMAP
MIDM An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series Author KDD
2023
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
etc.
Localised Localised Adaptive Spatial-Temporal Graph Neural Network None KDD
2023
Multivariat PEMS3-Stream PECPM Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction None KDD
2023
Multivariat Tourism
Wiki
Traffic
HPO Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting None KDD
2023
Multivariat Weather
Traffic
Electricity
ETT
TSMixer TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting None KDD
2023
Transfer
Traffic
Forecasting
PEMSD7M
PEMSD7M
METR-LA
PEMS-BAY
TransGTR Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities Author KDD
2023
Multivariat ETT
Traffic
Electricity
Exchange
Weather
ILI
DLinear Are Transformers Effective for Time Series Forecasting Code
Stars
Forks
AAAI
2023
Multivariat METR-LA
PEMSD7M
STC-Dropout Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Code
Stars
Forks
AAAI
2023
Multivariat BJ-Bike
NYC-Bike
STNSCM Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction Code
Stars
Forks
AAAI
2023
Multivariat XC-Trans
XC-Speed
CCHMM Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction Code
Stars
Forks
AAAI
2023
Multivariat NYCBike1
NYCBike2
NYCTaxi
BJTaxi
ST-SSL Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction Code
Stars
Forks
AAAI
2023
Multivariat PV-US
CER-En
SGP Scalable Spatiotemporal Graph Neural Networks Code
Stars
Forks
AAAI
2023
Multivariat Electricity
Solar
PEMS-BAY
METR-LA
SRD Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling Code
Stars
Forks
AAAI
2023
Multivariat ETT
Electricity
InfoTS Time Series Contrastive Learning with Information-Aware Augmentations Code
Stars
Forks
AAAI
2023
Multivariat PhysioNet
MIMIC-III
Activity
Appliances Energy
PrimeNet PrimeNet: Pre-training for Irregular Multivariate Time Series Code
Stars
Forks
AAAI
2023
Multivariat Electricity
ETT
Weather
Dish-TS Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Code
Stars
Forks
AAAI
2023
Multivariat ETT
Electricity
Exchange
Traffic
Weather
ILI
NHITS NHITS: Neural Hierarchical Interpolation for Time Series Forecasting Code
Stars
Forks
AAAI
2023
Multivariat METR-LA
ETT
Weather
MegaCRN Spatio-Temporal Meta-Graph Learning for Traffic Forecasting Code
Stars
Forks
AAAI
2023
Multivariat Santa
Traffic
NEC+ An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks Code
Stars
Forks
AAAI
2023
Extreme MTSF Electricity
Solar
Weather
Traffic
WaveForM WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series Code
Stars
Forks
AAAI
2023
Multivariat PEMS04
PEMS07
PEMS08
NYCTaxi
CHBike
TDrive
PDFormer PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction Code
Stars
Forks
AAAI
2023
Multivariat AmapBeijing
AmapChengdu
STGNPP Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction None AAAI
2023
Multivariat ETT
Electricity
Exchange
Traffic
Weather
ILI
InParformer InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting None AAAI
2023
Multivariat Tourism
Labour
M5
SLOTH SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies None AAAI
2023
Multivariat Wind
Solar
eForecaster eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms None AAAI
2023
Multivariat NYCTaxi
PEMS04
AutoSTL AutoSTL: Automated Spatio-Temporal Multi-Task Learning None AAAI
2023
Multivariat METR-LA
PEMS-BAY
Trafformer Trafformer: Unify Time and Space in Traffic Prediction None AAAI
2023
Multivariat Electricity
PM2.5
Exchange
DeLELSTM DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series Code
Stars
Forks
IJCAI
2023
Multivariat NYC-Bike
PEMS-BAY
PEMS08
ReMo Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting Code
Stars
Forks
IJCAI
2023
Multivariat NASA MetePFL Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Code
Stars
Forks
IJCAI
2023
Multivariat Hurricane
Climate
Self-Recover Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning None IJCAI
2023
Multivariat Weather
Traffc
Electricity
Exchange
ILI
SMARTformer SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting None IJCAI
2023
Multivariat METR-LA
Beijing
Xiamen
INCREASE INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging TF
Stars
Forks
WWW
2023
Multivariat MQPS
ETT
Electricity
KAE-Informer KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices Code
Stars
Forks
WWW
2023
Multivariat Typhoon-JP
COVID-JP
Hurricane-US
MemeSTN Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster Code
Stars
Forks
WWW
2023
Multivariat NYC
Chicago
EALGAP Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning Keras
Stars
Forks
ICDE
2023
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
DyHSL Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting Code
Stars
Forks
ICDE
2023
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
STWave When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks Code
Stars
Forks
ICDE
2023
Multivariat Seattle
PEMS04
PEMS08
SSTBAN Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting Code
Stars
Forks
ICDE
2023
Multivariat PEMSD4
PEMSD8
AirBJ
TrafficSIP
MGTF A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework Author WSDM
2023
Multivariat METR-LA
PEMS-BAY
PEMS04
PEMS07
PEMS08
STAEformer Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting Code
Stars
Forks
CIKM
2023
Traffic PEMS03
PEMS04
PEMS07
PEMS08
TrendGCN Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting Code
Stars
Forks
CIKM
2023
Multivariat ETT
Electricity
Traffic
Weather
ILI
Exchange
GCformer GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Code
Stars
Forks
CIKM
2023
Multivariat ETT
Electricity
Traffic
Seq2Peak Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting Code
Stars
Forks
CIKM
2023
Multivariat PEMS04
PEMS07
PEMS08
NYC Crime
CHI Crime
CL4ST Spatio-Temporal Meta Contrastive Learning Code
Stars
Forks
CIKM
2023
Multivariat NYC Bike
NYC Taxi
MLPST MLPST: MLP is All You Need for Spatio-Temporal Prediction Author CIKM
2023
Multivariat TaxiBJ
BikeNYC
MC-STL Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction Code
Stars
Forks
CIKM
2023
Multivariat PeMS
Beijing
Electricity
COVID-CHI
MemDA MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Code
Stars
Forks
CIKM
2023
Cross City
Traffic
PEMS-BAY
METR-LA
Chengdu
Shenzhen
TPB Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank Code
Stars
Forks
CIKM
2023
Traffic Speed METR-LA
PEMS-BAY
PEMSD7M
UAGCRN Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis TF
Stars
Forks
CIKM
2023
Multivariat Complaint
NYC Taxi
PromptST PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction Code
Stars
Forks
CIKM
2023
Multivariat METR-LA
PEMS-BAY
PEMS08
HIEST Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting Code
Stars
Forks
CIKM
2023
Multivariat ETT
Electricity
Weather
Traffic
TemDep TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction Code
Stars
Forks
CIKM
2023
Traffic BJ-Center
METR-LA
ST-MoE ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction None CIKM
2023
Multivariat ETT
Electricity
Weather
Traffic
Exchange
AVGNets Learning Visibility Attention Graph Representation for Time Series Forecasting None CIKM
2023
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
STGBN Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting None CIKM
2023
Multivariat ETT
Electricity
Traffic
ILI
Exchange
FAMC-Net FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting None CIKM
2023
Cross City
Traffic
NYC
Chicago
Nashville
CARPG CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation None CIKM
2023
Traffic SPEED
FLOW
CANet Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting None CIKM
2023
Multivariat ETT
Exchange
ILI
Weather
Electricity
Traffic
DSformer DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction None CIKM
2023
Multivariat Wufu MODE Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data None CIKM
2023
Multivariat NYC MetaRSTP Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning None CIKM
2023
Multivariat SIP
NYC
METR-LA
G2S Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics None SDM
2023
Multivariat Solar
PEMS-BAY
Electricity
ERL Time-delayed Multivariate Time Series Predictions None SDM
2023
Multivariat Weather2K Weather2K Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations Weather2K
Stars
Forks
AISTATS
2023
Multivariat ETT
Electricity
Exchange
Traffic
Weather
ILI
FiLM FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Code
Stars
Forks
NeurIPS
2022
Multivariat ETT
Electricity
Exchange
Weather
LaST Learning Latent Seasonal-Trend Representations for Time Series Forecasting Code
Stars
Forks
NeurIPS
2022
Multivariat ETT
Electricity
Exchange
Traffic
Weather
ILI
WaveBound WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting Code
Stars
Forks
NeurIPS
2022
Multivariat COVID-19
PEMS04
PEMS08
Temperature
Bytom
Wind
ZFC-SHCN Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting Future NeurIPS
2022
Multivariat ETT
Traffic
Solar
Electricity
Exchange
PEMS03
PEMS04
PEMS07
PEMS08
SCINet SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Code
Stars
Forks
NeurIPS
2022
Multivariat Electricity
ETT
Exchange
ILI
Traffic
Weather
NonstaTransf Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting Code
Stars
Forks
NeurIPS
2022
Multivariat Traffic
Solar
Electricity
Exchange
PEMS07(M)
PEMS-BAY
TPGNN Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks Future NeurIPS
2022
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
DSTAGNN DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting Code
Stars
Forks
ICML
2022
Multivariat ETT
Electricity
Exchange
Traffic
Weather
ILI
FEDformer FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Code
Stars
Forks
ICML
2022
Multivariat Traffic
Electricity
Wiki
Sales
DAF DAF-Domain Adaptation for Time Series Forecasting via Attention Sharing None ICML
2022
Multivariat Electricity
Solar
Fred MD
KDD Cup
TACTiS
(Copulas,
Trans)
TACTiS: Transformer-Attentional Copulas for Time Series Code
Stars
Forks
ICML
2022
Multivariat French
Electricity
AgACI Adaptive Conformal Predictions for Time Series Python,R
Stars
Forks
ICML
2022
Traffic Speed NAVER-Seoul
METR-LA
PM-MemNet
(Mem,KNN)
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting Code
Stars
Forks
ICLR
2022
Multivariat PEMS03
PEMS04
PEMS08
COVID-19,etc
TAMP-S2GCNets
(GCN,AR,
Topological Features)
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting Code ICLR
2022
Multivariat ETT
Electricity
Weather
CoST CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Code
Stars
Forks
ICLR
2022
Multivariat Electricity
Traffic
M4
CASIO
NP
DEPTS DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Code
Stars
Forks
ICLR
2022
Multivariat ETT
Electricity
Wind
App Flow
Pyraformer Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting Code
Stars
Forks
ICLR
2022
Multivariat ETT
Electricity
M4
Air Quality
Nasdaq
RevIN Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift Code
Stars
Forks
ICLR
2022
Multivariat METR-LA
PEMS-BAY
PEMS04
PEMS08
D2STGNN Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting Code
Stars
Forks
VLDB
2022
Multivariat METR-LA
PEMS-BAY
PEMS04
STEP Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting Code
Stars
Forks
KDD
2022
Multivariat Solar
Electricity
Exchange
Wind
NYCBike
NYCTaxi
ESG Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting Code
Stars
Forks
KDD
2022
Multivariat METR-LA
Solar
Traffic
ECG5000
VSF Multi-Variate Time Series Forecasting on Variable Subsets Code,dgl
Stars
Forks
KDD
2022
Multivariat DC Bike
DC Taxi
CrossTReS Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting Code,dgl
Stars
Forks
KDD
2022
Multivariat ETT
Weather
Exchange
Traffic
Electricity
Quatformer Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting MRA-BGCN Author
None Code
KDD
2022
Multivariat NYCBike
NYCTaxi
PEMS03
PEMS08
GMSDR MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting Code
Stars
Forks
KDD
2022
Multivariat Hangzhou
NYC
DTIGNN Modeling Network-level Traffic Flow Transitions on Sparse Data Code
Stars
Forks
KDD
2022
Multivariat Temperature
Cloud cover
Humidity
Wind
CLCRN Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Code
Stars
Forks
AAAI
2022
Traffic Flow PEMS03
PEMS04
PEMS07
PEMS08
PEMS07(M)
PEMS07(L)
STG-NCDE Graph Neural Controlled Differential Equations for Traffic Forecasting Code
Stars
Forks
AAAI
2022
Traffic Flow GT-221
WRS-393
ZGC-564
STDEN STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction Code
Stars
Forks
AAAI
2022
Multivariat Electricity
Traffic
PEMS07(M)
METR-LA
CATN CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting None AAAI
2022
Multivariat ETT
Electricity
TS2Vec TS2Vec: Towards Universal Representation of Time Series Code
Stars
Forks
AAAI
2022
Multivariat ETT
Electricity
Weather
Triformer Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version Code
Stars
Forks
IJCAI
2022
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
FOGS FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting Code
Stars
Forks
IJCAI
2022
Multivariat PEMS04
PEMS08
RPCM
RGSL Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting Code
Stars
Forks
IJCAI
2022
Multivariat Air Quality
Parking
DMGA Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention None IJCAI
2022
Multivariat YellowCab
GreenCab
Solar
ST-KMRN Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data Author IJCAI
2022
Multivariat NYCTaxi
NYCBike
CHIBike
BJTaxi
Chengdu
STAN When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters None IJCAI
2022
Multivariat Hurricanes
Ausgrid
Weather
DeepExtrema DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data Code
Stars
Forks
IJCAI
2022
Multivariat GoogleSymp
Covid19
Power
Tweet
CAMul CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Code
Stars
Forks
WWW
2022
Multivariat Electricity
Stock
MRLF Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction Code
Stars
Forks
WWW
2022
Multivariat
Classificat
Forecasting
MuJoCo
Google Stock
EXIT EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting Code
Stars
Forks
WWW
2022
Traffic Flow PEMS03
PEMS04
PEMS07
PEMS08
ST-WA Towards Spatio- Temporal Aware Traffic Time Series Forecasting Code
Stars
Forks
ICDE
2022
Mobility
Prediction
NYC
Dallas
Miami
SHIFT Translating Human Mobility Forecasting through Natural Language Generation Hao Xue WSDM
2022
Traffic Flow TaxiBJ
BikeNYC
ST-GSP ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction Code
Stars
Forks
WSDM
2022
Multivariat Traffic
Temperature
ReTime Retrieval Based Time Series Forecasting None CIKM
2022
Multivariat Rainfall
Traffic
ETT
Stock
Climate
DXtreMM Deep Extreme Mixture Model for Time Series Forecasting Code
Stars
Forks
CIKM
2022
MTS Analysis
MTS Forecasting
Anormaly Detection
ETT
Electricity
SMD
SMAP
MSL
SWaT
MARINA MARINA: An MLP-Attention Model for Multivariate Time-Series None CIKM
2022
Traffic Speed METR-LA
PEMS-BAY
ResCAL Residual Correction in Real-Time Traffic Forecasting None CIKM
2022
Model Selection AutoForecast AutoForecast: Automatic Time-Series Forecasting Model Selection None CIKM
2022
Traffic Flow PEMS04
PEMS07
PEMS08
DastNet Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities Code
Stars
Forks
CIKM
2022
Traffic Flow & Speed METR-LA
PEMS-BAY
PEMS03
PEMS04
PEMS07
PEMS08
AutoSTS Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction YongLi THU CIKM
2022
Traffic Condition TRCV-BJ
TRCV-SH
TRCV-ZZ
DuTraffic DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps None CIKM
2022
Multivariat ETT
Electricity
WTH
Weather
ILI
Exchange
Linear Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? None CIKM
2022
Multivariat Solar
Traffic
Electricity
Exchange
MAGL Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting None CIKM
2022
Multivariat PEMS04
PEMS07
PEMS08
PEMS-BAY
Electricity
STID Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting Code
Stars
Forks
CIKM
2022
Multivariat METR-LA
PEMS-BAY
PEMS04
PEMS07
ASTTN Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting None CIKM
2022
Multivariat Seoul CGAN Context-aware Traffic Flow Forecasting in New Roads None CIKM
2022
Traffic Flow & Speed METR-LA
PEMS-BAY
PEMS-M
PEMS04
PEMS08
ST-GAT ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction Author CIKM
2022
Traffic Speed METR-LA
PEMS-BAY
HOMGNNs Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction Code
Stars
Forks
ICDM
2022
Multivariat M4
Electricity
car-parts
TopAttn Topological Attention for Time Series Forecasting Code

Stars
Forks Future
NeurIPS
2021
Multivariat Rossmann
M5
Wiki
MisSeq MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data None NeurIPS
2021
Multivariat ETT
Electricity
Exchange
Traffic
Weather
ILI
Autoformer Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Code
Stars
Forks
NeurIPS
2021
Multivariat PEMS04
PEMS08
Traffic
ADI
M4 ,etc
Error Adjusting for Autocorrelated Errors in Neural Networks for Time Series Code
Stars
Forks
NeurIPS
2021
Multivariat Bytom
Decentraland
PEMS04
PEMS08
Z-GCNETs Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting Code
Stars
Forks
ICML
2021
Multivariat PEMS07(M)
METR-LA
PEMS-BAY
Cov Conditional Temporal Neural Processes with Covariance Loss None ICML
2021
Multivariat METR-LA
PEMS-BAY
PMU
GTS Discrete Graph Structure Learning for Forecasting Multiple Time Series Code
Stars
Forks
ICLR
2021
Multivariat Benz
Air Quality
FuelMoisture
framework A Transformer-based Framework for Multivariate Time Series Representation Learning Code
Stars
Forks
KDD
2021
Federated Multivariat PEMS-BAY
METR-LA
CNFGNN Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling Code
Stars
Forks
KDD
2021
Traffic Speed PEMS04
PEMS08
England
DMSTGCN Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting Code
Stars
Forks
KDD
2021
Traffic Flow PEMS07(M)
PEMS07(L)
PEMS03
PEMS04
PEMS07
PEMS08
STGODE Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Code
Stars
Forks
KDD
2021
Multivariat BikeNYC
PEMS07(M)
Electricity
ST-Norm ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting Code
Stars
Forks
KDD
2021
Multivariat DiDiXM
DiDiCD
TrajNet TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction None KDD
2021
Robust Forecasting MIMIC-III
USHCN
KDD-CUP
DGM Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series Code
Stars
Forks
AAAI
2021
Multivariat Guangzhou
Seattle
HZMetro , etc.
DSARF Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting Code
Stars
Forks
AAAI
2021
Traffic Speed METR-LA
PEMS-BAY
FC-GAGA FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting TF
Stars
Forks
AAAI
2021
Traffic Speed DiDiJiNan
DiDiXiAn
HGCN Hierarchical Graph Convolution Network for Traffic Forecasting Code
Stars
Forks
AAAI
2021
Multivariat ETT
Weather
Electricity
Informer Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Code
Stars
Forks
AAAI
2021
Traffic Flow NYCMetro
NYC Bike
NYC Taxi
MOTHER Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction None AAAI
2021
Multivariat METR-LA
PEMS-BAY
PEMS07(M)
PEMS07(L)
PEMS03
PEMS04
PEMS07
PEMS08
STFGNN Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Mxnet
Stars
Forks
AAAI
2021
Multivariat BJ Taxi
NYC Taxi
NYC Bike1
NYC Bike2
STGDN Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Mxnet
Stars
Forks
AAAI
2021
Traffic Flow SG-TAXI TrGNN Traffic Flow Prediction with Vehicle Trajectories Code
Stars
Forks
AAAI
2021
Multivariat Road
POIs
SIGtraf
DMLM Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach Future IJCAI
2021
Multivariat East Bay
METR-LA
US
D-DA-GRNN EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting Code
Stars
Forks
ICDE
2021
Multivariat Water
Humidity
Wind, etc
EA-DRL An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting None ICDE
2021
Traffic Flow TaxiBJ
DiDiCD
TaxiRome
AttConvLSTM Modeling Citywide Crowd Flows using Attentive Convolutional LSTM None ICDE
2021
Traffic Speed
Traffic Flow
METR-LA
PEMS-BAY
eMS03
PEMS04
PEMS07
PEMS08...
Benchmark An Empirical Experiment on Deep Learning Models for Predicting Traffic Data Future ICDE
2021
Multivariat Motes
Soil
Revenue
Traffic
20CR
NET Network of Tensor Time Series Code
Stars
Forks
WWW
2021
Multivariat VevoMusic
WikiTraffic
LOS-LOOP
SZ-taxi
Radflow Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Code
Stars
Forks
WWW
2021
Multivariat METR-LA
Wiki-EN
REST REST: Reciprocal Framework for Spatiotemporal-coupled Predictions None WWW
2021
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
HZMetro
ASTGNN Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting Code
Stars
Forks
TKDE
2021
Multivariat TaxiBJ
BikeNYC-I
BikeNYC-II
TaxiNYC
METR-LA
PEMS-BAY
PEMS07(M)
DL-Traff DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction Graph:Code
Grid:TF
Stars
Forks
CIKM
2021
Multivariat METR-LA
PEMS-BAY
PEMS07(M)
TorchGeoTem Code Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models Code CIKM
2021
Traffic Flow TaxiBJ
BikeNYC
LLF Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction None CIKM
2021
Multivariat ETT
Electricity
HI Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting None CIKM
2021
Multivariat ETT
ELE
AGCNT AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting None CIKM
2021
Cellular Traffic cellular MPGAT Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic Code
Stars
Forks
Future
CIKM
2021
Traffic Speed METR-LA
PEMS-BAY
Simulated
STNN Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting Code
Stars
Forks
ICDM
2021
Traffic Speed DiDiCD
DiDiXiAn
T-wave Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting Code
Stars
Forks
ICDM
2021
Multivariat Sanyo
Hanergy
Solar
Electricity
Exchange
SSDNet SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Code
Stars
Forks
ICDM
2021
Traffic Volumn HangZhou City
JiNan City
CTVI Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference Code
Stars
Forks
ICDM
2021
Traffic Volumn Uber Movements
Grab-Posisi
TEST-GCN TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting None ICDM
2021
Multivariat Air Quality City
Meterology
ATGCN Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction None WSDM
2021
Traffic Flow WalkWLA
BikeNYC
TaxiNYC
PDSTN Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network None WSDM
2021
Traffic Flow PEMS04
PEMS08
AGCRN Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Code
Stars
Forks
NeurIPS
2020
Multivariat Electricity
Traffic
Wind
Solar
M4-Hourly
AST Adversarial Sparse Transformer for Time Series Forecasting Code
Stars
Forks
NeurIPS
2020
Multivariat METR-LA
PEMS-BAY
PEMS07
PEMS03
PEMS04 ,etc
StemGNN Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Code
Stars
Forks
NeurIPS
2020
Multivariat M4
M3
Tourism
N-BEATS N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Code+Keras
Stars
Forks
ICLR
2020
Traffic Flow Traffic
Energy
Electricity
Exchange
METR-LA
PEMS-BAY
MTGNN Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Code
Stars
Forks
KDD
2020
Traffic Flow Taxi-NYC
Bike-NYC
CTM
DSAN Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction TF
Stars
Forks
KDD
2020
Traffic Speed
Traffic Flow
Shenzhen Curb-GAN Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks Code
Stars
Forks
KDD
2020
Traffic Flow TaxiBJ
CrowdBJ
TaxiJN
TaxiGY
AutoST AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction None KDD
2020
Traffic Volumn W3-715
E5-2907
HSTGCN Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data None KDD
2020
Multivariat Xiamen
PEMS-BAY
GMAN GMAN: A Graph Multi-Attention Network for Traffic Prediction TF

Stars
Forks Code
AAAI
2020
Multivariat PEMS03
PEMS04
PEMS07
PEMS08
STSGCN Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting Mxnet
Stars
Forks
Code
Stars
Forks
AAAI
2020
Multivariat Traffic
Energy
NASDAQ
MLCNN Towards Better Forecasting by Fusing Near and Distant Future Visions Code
Stars
Forks
AAAI
2020
Multivariat PEMS-S
PEMS-BAY
METR-LA
BJF
BRF
BRF-L
SLCNN Spatio-temporal graph structure learning for traffic forecasting None AAAI
2020
Traffic Speed METR-LA
PEMS-BAY
MRA-BGCN Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting None AAAI
2020
Metro Flow HKMetro WDGTC Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction TF
Stars
Forks
AAAI
2020
Multivariat MovingMNIST
TaxiBJ
KTH
SA-ConvLSTM Self-Attention ConvLSTM for Spatiotemporal Prediction TF
Stars
Forks
Code
AAAI
2020
Metro Flow SydneyMetro MLC-PPF Potential Passenger Flow Prediction-A Novel Study for Urban Transportation Development None AAAI
2020
Commuting Flow Lodes
Pluto
OSRM
GMEL Learning Geo-Contextual Embeddings for Commuting Flow Prediction Code
Stars
Forks
AAAI
2020
Multivariat Traffic
Exchange
Solar
DeepTrends Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series TF
Stars
Forks
AAAI
2020
Multivariat Traffic
Electricity
SmokeVideo
PCSales
RawMaterials
BHT Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting Python
Stars
Forks
AAAI
2020
Traffic Speed PEMS04
PEMS07
PEMS08
LSGCN LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks TF
Stars
Forks
IJCAI
2020
Traffic Flow BikeNYC
MobileBJ
CSCNet A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling None IJCAI
2020
Multivariat USDCNY
USDKRW
USDIDR
WATTNet WATTNet: learning to trade FX via hierarchical spatio-temporal representation of highly multivariate time series TF
Stars
Forks
IJCAI
2020
Fine-grained CitiBikeNYC
Div
Metro
GACNN Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems None WWW
2020
Flow
Distribution
Austin
Louisville
Minneapolis
GCScoot Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration None WWW
2020
Traffic Speed METR-LA
PEMS-BAY
STGNN Traffic Flow Prediction via Spatial Temporal Graph Neural Network Code
Stars
Forks
WWW
2020
Traffic Speed DiDiCD STAG-GCN Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting Code
Stars
Forks
CIKM
2020
Traffic Speed METR-LA
PEMS-BAY
ST-GRAT ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed Code
Stars
Forks
CIKM
2020
Traffic Flow BJ-Taxi
NYC-Taxi
NYC-Bike-1
NYC-Bike-2
ST-CGA Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting Keras
Stars
Forks
CIKM
2020
Traffic Flow NYCBike
NYCTaxi
MT-ASTN Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction Code
Stars
Forks
CIKM
2020
Traffic Speed SFO
NYC
DIGC Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction None CIKM
2020
Metro Flow SZMetro
HZMetro
STP-TrellisNets STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction None CIKM
2020
Multivariat Air Quality
BikeNYC
METR-LA
AGSTN AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting Keras
Stars
Forks
ICDM
2020
Traffic Speed METR-LA
PEMS-BAY
FreqST FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction None ICDM
2020
Traffic Flow PEMS03
PEMS07
TSSRGCN Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting None ICDM
2020
Multivariat Air Quality
DarkSky
Geographic
DeepLATTE Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction Code
Stars
Forks
ICDM
2020
Traffic Flow XATaxi
BJTaxi
PortoTaxi
ST-PEFs Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction Based on Potential Energy Fields None ICDM
2020
Traffic Speed
Flow
SZSpeed
SZTaxi
cST-ML cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction Code
Stars
Forks
ICDM
2020
Multivariat Electricity
Traffic
Wiki
PEMS07(M)
DeepGLO Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Code
Stars
Forks
NeurIPS
2019
Multivariat Electricity
Traffic
Solar
M4
Wind
LogSparse Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Code
Stars
Forks
NeurIPS
2019
Multivariat Synthetic
ECG5000
Traffic
DILATE Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Code
Stars
Forks
NeurIPS
2019
Traffic Flow Earthquake DeepUrbanEvent DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events Keras
Stars
Forks
KDD
2019
Traffic Flow
Speed
TDrive
METR-LA
ST-MetaNet Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning Mxnet
Stars
Forks
KDD
2019
Multivariat Rossman
Walmart
Electricity
Traffic
Parts
ARU Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units TF
Stars
Forks
KDD
2019
Multivariat Air Quality AccuAir AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018 None KDD
2019
Traffic Flow Simulated
RoadTraffic
Wikipedia
ERMreg Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions None KDD
2019
Multivariat
under event
Climate
Stock
Pseudo
EVL Modeling Extreme Events in Time Series Prediction None KDD
2019
Traffic Flow PEMS04
PEMS08
METR-LA
ASTGCN Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting Mxnet
Stars
Forks
AAAI
2019
Traffic Flow
Speed
NYC
PEMS0(M)
DGCNN Dynamic spatial-temporal graph convolutional neural networks for traffic forecasting None AAAI
2019
Traffic FLow NYC-Taxi
NYC-Bike
STDN Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction Keras
Stars
Forks
AAAI
2019
Traffic Flow MobileBJ
BikeNYC
DeepSTN+ DeepSTN+: context-aware spatial-temporal neural network for crowd flow prediction in metropolis TF
Stars
Forks
AAAI
2019
Traffic Speed METR-LA
PEMS-BAY
Res-RGNN Gated residual recurrent graph neural networks for traffic prediction None AAAI
2019
Traffic FLow MetroBJ
BusBJ
TaxiBJ
GSTNet GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction Code
Stars
Forks
IJCAI
2019
Traffic Speed METR-LA
PEMS-BAY
GWN Graph WaveNet for Deep Spatial-Temporal Graph Modeling Code
Stars
Forks
IJCAI
2019
Traffic Flow DidiSY
BikeNYC
TaxiBJ
STG2Seq STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting TF
Stars
Forks
IJCAI
2019
Multivariat GHL
Electricity
TEP
DyAt DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems Code
Stars
Forks
IJCAI
2019
Multivariat Air Quality MGED Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction None IJCAI
2019
Traffic Volumn Chicago
Boston
MetaST Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction TF
Stars
Forks
WWW
2019
TrafficPred
imputation
GZSpeed
HZMetro
Seattle
London
BTF Bayesian Temporal Factorization for Multidimensional Time Series Prediction Python
Stars
Forks
TPAMI
2019
Multivariat Gas Station DSANet DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting Code
Stars
Forks
CIKM
2019
Multivariat Solar
Traffic
Exchange
Electricity
PEMS ,etc
Study Experimental Study of Multivariate Time Series Forecasting Models None CIKM
2019
Traffic Speed DiDiCD
DiDiXA
BTRAC Boosted Trajectory Calibration for Traffic State Estimation None ICDM
2019
Multivariat Photovoltaic MTEX-CNN MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks Code
Stars
Forks
ICDM
2019
Traffic Speed BJER4
PEMS07(M)
PEMS07(L)
STGCN Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting TF
Stars
Forks Mxnet Code1
Stars
Forks Code2 Code3
Stars
Forks
IJCAI
2018
Traffic Speed METR-LA
PEMS-BAY
DCRNN Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting TF
Stars
Forks Code
ICLR
2018

Multivariat Probabilistic Time Series Forecasting

Task Data Model Paper Code Publication
Paper Nums:40+
Conformer
Graph
TimesNet SGCE Delving into Non-Exchangeability for Conformal Prediction in Graph-Structured Multivariate Time Series None ICML
2026
probability TimesNet Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting Code
Stars
Forks
ICML
2026
Conformer TimesNet SCDR Conditional Quantile Adjusted Conformal Prediction for Time Series None ICML
2026
Irregular
Probabilistic
Reliable Probabilistic Forecasting of Irregular Time Series through Marginalization-Consistent Flows Code
Stars
Forks
ICLR
2026
probability TimesNet Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting Code
Stars
Forks
ICLR
2026
Conformer Solar
Beijing
Exchange
ACEA
ResCP ResCP: Reservoir Conformal Prediction for Time Series Forecasting None ICLR
2026
probability TimesNet TEDM TEDM: Time Series Forecasting with Elucidated Diffusion Models None ICLR
2026
probability Irregular MTS Under-Cali Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration Code
Stars
Forks
KDD
2026
probability Climate
Energy
Communication
Urban
CoST Collaborative Deterministic-Probabilistic Learning for Real-World Spatiotemporal Dynamics Code
Stars
Forks
KDD
2026
probability EnergyMamba EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction Code
Stars
Forks
KDD
2026
probability PEMS RIPCN RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting Code
Stars
Forks
KDD
2026
Conformer COVID-19
Flu
SMD
ECL
Weather
NCC Neural Conformal Control for Time Series Forecasting Code
Stars
Forks
AAAI
2025
probability TimesNet interPDN Time Series Forecasting via Direct Per-Step Probability Distribution Modeling Code
Stars
Forks
AAAI
2026
probability TimesNet Multi-Horizon Time Series Forecasting of non-parametric CDFs with Deep Lattice Networks Code
Stars
Forks
AAAI
2026
Irregular
Probabilistic
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows None AAAI
2025
probability TimesNet AdaPTS AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting Code
Stars
Forks
ICML
2025
probability TimesNet NsDiff Non-stationary Diffusion For Probabilistic Time Series Forecasting Code
Stars
Forks
ICML
2025
probability TimesNet K²VAE VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Code
Stars
Forks
ICML
2025
probability Solar
Traffic
Electricity
timeMCL Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Code
Stars
Forks
ICML
2025
probability Exchange
ILI
ETT
Electricity
Traffic
Weather
TMDM Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting None ICLR
2024
probability Exchange
Solar
Electricity
Traffic
Taxi
Wikipedia
VQ-TR VQ-TR: Vector Quantized Attention for Time Series Forecasting None ICLR
2024
Conformer COVID-19 CopulaCPTS Copula Conformal prediction for multi-step time series prediction Code
Stars
Forks
ICLR
2024
probability Solar
Electricity
Traffic
Taxi
Wikipedia
LDT Latent Diffusion Transformer for Probabilistic Time Series Forecasting None AAAI
2024
probability Solar
Electricity
Traffic
Exchange
M4-Hourly
UberTLC
KDDCup
Wikipedia
TSDiff Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting GluonTS
Stars
Forks
NIPS
2023
Quantile Electricity
Kaggle
M4-daily
Traffic
Wiki
Ensemble Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting None ICML
2023
Quantile Boston
Concrete
kin8nm
Power
Protein
Wine
M5
BVAE Neural Spline Search for Quantile Probabilistic Modeling None AAAI
2023
Quantile Traffc
Electricity
Solar Energy
pTSE pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting None IJCAI
2023
probability PEMS03
PEMS04
PEMS07
PEMS08
DeepSTUQ Uncertainty Quantification for Traffic Forecasting: A Unified Approach None ICDE
2023
probability Electricity
Traffc
Solar
Exchange
M4
PDTrans Probabilistic Decomposition Transformer for Time Series Forecasting Code
Stars
Forks
SDM
2023
probability Taxi

Electricity Traffc
Exchange
COPDEEPAR Coherent Probabilistic Forecasting of Temporal Hierarchies GluonTS AISTATS
2023
probability Traffic
Electricity
Weather
ETT
Wind
BVAE Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Paddle NeurIPS
2022
probability & Stock Price
Wind Speed
Volat Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes Code,GCode
Stars
Forks
ICML
2022
probability &
Point &
Others
electricity
Yacht
Boston, etc
AQF Autoregressive Quantile Flows for Predictive Uncertainty Estimation None ICLR
2022
probability IRIS
Digits
EightSchools
EMF Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling Code
Stars
Forks
ICLR
2022
probability Bike Sharing
UCI
NYU Depth v2
NatPN Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions Code
Stars
Forks
ICLR
2022
probability Carbon
Concrete
Energy
Housing,etc
β−NLL On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Code
Stars
Forks
ICLR
2022
probability & Point CDP
SLD
STZINB-GNN Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks Code
Stars
Forks
KDD
2022
probability & Point Sichuan
Panama
PrEF PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model None AAAI
2022
probability ETT
Solar
Electricity
KLST Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts Code
Stars
Forks
IJCAI
2022
probability Exchange
Solar
Electricity
Traffic
Wiki
EMSSM Memory Augmented State Space Model for Time Series Forecasting None IJCAI
2022
Prediction
Intervals
DMV
Census
Forest
Power
Evaluation Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation None ICDE
2022
Periodic Forecasting ETT
Weather
DeepFS Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting None CIKM
2022
probability Electricity
Traffic
Wiki
M4
ISQF Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting GluonTS AISTATS
2022
probability M4
Traffic
Electricity
Robust Robust Probabilistic Time Series Forecasting GluonTS AISTATS
2022
probability Electricity
Traffic
M4
MQF Multivariate Quantile Function Forecaster GluonTS AISTATS
2022
probability Electricity
Traffic
Wiki
Azure
C2FAR C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Future AISTATS
2022
Imputation &
Probabilistic
PhysioNet
Air Quality
CSDI CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Code
Stars
Forks
NeurIPS
2021
probability MIMIC-III
EEG
COVID-19
CF-RNN Conformal Time-series Forecasting Code
Stars
Forks
NeurIPS
2021
probability CDC Flu EPIFNP When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting Code
Stars
Forks
NeurIPS
2021
probability Basketball
Weather
GLIM Probability Paths and the Structure of Predictions over Time R NeurIPS
2021
probability Facebook
Meps
Star
Bike ,etc
LSF Probabilistic Forecasting: A Level-Set Approach GluonTS NeurIPS
2021
probability Solar
Electricity
Traffic
Taxi
Wikipedia
ProTran Probabilistic Transformer For Time Series Analysis None NeurIPS
2021
Prediction
Intervals
Solar
Wind
EnbPI Conformal prediction interval for dynamic time-series Code
Stars
Forks
ICML
2021
probability Exchange
Solar
Electricity
Traffic
Taxi
Wiki
TimeGrad Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Code
Stars
Forks
ICML
2021
probability & Point PEMS03
PEMS04
PEMS07
PEMS08
Electricity
Traffic , etc
AGCGRU RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting TF
Stars
Forks
ICML
2021
probability Tourism
Labour
Traffic
Wiki
Electricity
Traffic , etc
Hier-E2E End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series MXNet ICML
2021
probability Sine
MNIST
Billiards
S&P
Stock
Whittle Whittle Networks: A Deep Likelihood Model for Time Series TF
Stars
Forks
ICML
2021
probability METR-LA
PEMS-BAY
PMU
GTS Discrete Graph Structure Learning for Forecasting Multiple Time Series Code
Stars
Forks
ICLR
2021
probability & Point Exchange
Solar
Electricity
Traffic
Taxi
Wikipedia
MAF Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Code
Stars
Forks
ICLR
2021
probability MNIST
PhysioNet2012
PNCNN Probabilistic Numeric Convolutional Neural Networks None ICLR
2021
probability & Point Energy
Wine
Power
MSD, etc
PGBM Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression Code
Stars
Forks
KDD
2021
probability DiDICD TrajNet TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction None KDD
2021
probability Air Quality
METR-LA
COVID-19
UQ Quantifying Uncertainty in Deep Spatiotemporal Forecasting Code
Stars
Forks
KDD
2021
probability Electricity
Traffic
Environment
Air Quality
Dewpoint,etc
VSMHN Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting Code
Stars
Forks
AAAI
2021
probability & Point Traffic
Electricity
Wiki
Solar
Taxi
TLAE Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting None AAAI
2021
probability Patient EHR
Public Health
UNITE UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Code
Stars
Forks
WWW
2021
probability Exchange
Solar
Electricity
Traffic
Wiki
ARSGLS Deep Rao-Blackwellised Particle Filters for Time Series Forecasting None NeurIPS
2020
probability Electricity
Traffic
Wind
Solar
M4
AST Adversarial Sparse Transformer for Time Series Forecasting Code
Stars
Forks
NeurIPS
2020
probability Traffic
Electricity
STRIPE Probabilistic Time Series Forecasting with Shape and Temporal Diversity Code
Stars
Forks
NeurIPS
2020
probability Exchange
Solar
Electricity
Wiki
Traffic
NKF Normalizing Kalman Filters for Multivariate Time Series Analysis None NeurIPS
2020
quantile MIMIC-III BJRNN Frequentist Uncertainty in RNNs via Blockwise Influence Functions Code
Stars
Forks
ICML
2020
probability S&P 500
Electricity
Monte-Carlo Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Code
Stars
Forks
ICML
2020
probability Boston
Concrete
Energy
Kin8nm
Naval, etc
NGBoost NGBoost: Natural Gradient Boosting for Probabilistic Prediction Python
Stars
Forks
ICML
2020
probability Physionet
NHIS
DME Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Code
Stars
Forks
AAAI
2020
probability Exchange
Solar
Electricity
Traffic
NYCTaxi
Wikipedia
copula High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes GluonTS NeurIPS
2019
probability Electricity
Traffic
NYCTaxi
Uber
DF Deep Factors for Forecasting None ICML
2019
probability Weather DUQ Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting Keras
Stars
Forks
KDD
2019
probability JD50K framework Multi-Horizon Time Series Forecasting with Temporal Attention Learning None KDD
2019
probability MIMIC-III TPF Temporal Probabilistic Profiles for Sepsis Prediction in the ICU None KDD
2019
probability Electricity
Traffic
Wiki
Dom
SQF Probabilistic Forecasting with Spline Quantile Function RNNs None AISTATS
2019
probability More More https://github.com/zzw-zwzhang/Awesome-of-Time-Series-Prediction More

Time Series Imputation

Task Data Model Paper Code Publication
Paper Nums: 30+
Imputation TimesNet HELIX HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation Code
Stars
Forks
ICML
2026
Imputation TimesNet Rethinking Time-Series Imputation as Conditional Inference along Temporal Evolution None ICML
2026
Imputation TimesNet T1 T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation Code
Stars
Forks
ICLR
2026
Imputation TimesNet Time-Gated Multi-Scale Flow Matching for Time-Series Imputation None ICLR
2026
Imputation METR-LA
PEMS
Diffusion-based Spatio-temporal Interpolation with Dynamic Sensor Sets None KDD
2026
Imputation METR-LA
PEMS
Low-Rank Prior-Induced Consistency Flow Matching for Efficient Traffic Imputation Code
Stars
Forks
KDD
2026
Imputation Air Quality
ECG
SaDiff Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios None AAAI
2025
Imputation PM2.5
Sines
LSCD LSCD: Lomb-Scargle Conditioned Diffusion for Irregular Time series Imputation None ICML
2025
Imputation TimesNet CaT-Diff CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation None AAAI
2026
Imputation Traffic
Weather
MotifGNN Motif-aware Graph Neural Networks for Networked Time Series Imputation None AAAI
2025
Imputation METR-LA
PEMS-BAY
AQI
GSLI Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales Code
Stars
Forks
AAAI
2025
Imputation METR-LA
PEMS04
PEMS08
RDPI RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation Code
Stars
Forks
AAAI
2025
ImputeFormer METR-LA
PEMS-BAY
PEMS03478
Solar
CER-EN
AQI
ImputeFormer ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Code
Stars
Forks
KDD
2024
Imputation AirQuality
Stocks
Electricity
Energy
CTA Continuous-time Autoencoders for Regular and Irregular Time Series Imputation Code
Stars
Forks
WSDM
2024
Imputation PM2.5
PhysioNet
CSBI Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Code
Stars
Forks
ICML
2023
Imputation MIMIC-III
PhysioNet
MNAR Probabilistic Imputation for Time-series Classification with Missing Data TF
Stars
Forks
ICML
2023
Imputation Guangzhou
Solar-energy
Westminster
TIDER
(EncDec,AR)
Multivariate Time-series Imputation with Disentangled Temporal Representations Code ICLR
2023
Imputation COVID-19
AQ36
PeMS-BA
PeMS-LA
PeMS-SD
PoGeVon Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Author KDD
2023
Imputation PhysioNet
Human Activity
Warpformer Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series Code
Stars
Forks
KDD
2023
Imputation Air Quality
METR-LA
PEMS-BAY
PriSTI PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation Code
Stars
Forks
ICDE
2023
Imputation PhysioNet12
PhysioNet19
MIMIC-III
DA-TASWDM Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation None CIKM
2023
Imputation TEDDY
CAMELS
TSEst Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate Code
Stars
Forks
SDM
2023
Imputation Air Quality
METR-LA
PEMS-BAY
CER-E
GRIN
(EncDec,AR)
Filling the G_ap_s-Multivariate Time Series Imputation by Graph Neural Networks Code
Stars
Forks
ICLR
2022
Imputation PhysioNet
MIMIC-III
Climate
HeTVAE
(Attn,VAE)
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series Code
Stars
Forks
ICLR
2022
Imputation MIMIC-III
OPHTHALMIC
MNIST Physionet
GIL
(AR,Attn,
GRADIENT LEARNING)
Gradient Importance Learning for Incomplete Observations TF
Stars
Forks
ICLR
2022
Imputation Chlorine level
SML2010
Air Quality
D-NLMC Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation Matlab
Author
Github
AAAI
2022
Imputation COMPAS
Adult
HSLS
ME Online Missing Value Imputation and Change Point Detection with the Gaussian Copula gcimpute AAAI
2022
Imputation Fair MIP Forest Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values None AAAI
2022
Imputation Chengdu
New York
STCPA Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training Code
Stars
Forks
CIKM
2022
Imputation Nanjingyby
PEMS08
AST-CMCN Generative-Free Urban Flow Imputation SenzhangWang CIKM
2022
Imputation Foursquare
Gowalla
MDI-MG Multi-task Generative Adversarial Network for Missing Mobility Data Imputation None CIKM
2022
Imputation Self-defined MACRO Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation Code
Stars
Forks
ICDM
2022
Imputation Physionet
MIMIC-III
Human Activity
mTAND Multi-Time Attention Networks for Irregularly Sampled Time Series Code
Stars
Forks
ICLR
2021
Imputation METR-LA
NREL
USHCN
SeData
IGNNK Inductive Graph Neural Networks for Spatiotemporal Kriging Code
Stars
Forks
AAAI
2021
Imputation Activity
PhysioNet
Air Quality
SSGAN Generative Semi-supervised Learning for Multivariate Time Series Imputation Code
Stars
Forks
AAAI
2021
Imputation &
Multivariat
PhysioNet
Air Quality
CSDI CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Code
Stars
Forks
NeurIPS
2021
Imputation &
Prediction
VevoMusic
WikiTraffic
Los-Loop
SZ-Taxi
Radflow Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Code
Stars
Forks
WWW
2021
Imputation PhysioNet
Air Quality
Gas Sensor
STING STING: Self-attention based Time-series Imputation Networks using GAN None ICDM
2021
Imputation Zero
MICE
SoftImpute
GMMC
GAIN
SN Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks Future ICLR
2020
Imputation Beijing Air
PhysioNet
Porto Taxi
London Weather
LGnet Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values None AAAI
2020
Imputation Sydney
Melbourne
Brisbane
Perth, etc
SMV-NMF A spatial missing value imputation method for multi-view urban statistical data Matlab IJCAI
2020
Imputation PhysioNet
Air Quality
Wind
GANGRUI Adversarial Recurrent Time Series Imputation None TNNLS
2020
Imputation Healthcare
Climate
GRU-ODE-Bayes GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series Code
Stars
Forks
NeurIPS
2019
Imputation Toy LatenODE Latent Ordinary Differential Equations for Irregularly-Sampled Time Series Code
Stars
Forks
NeurIPS
2019
Imputation Sines
Stocks
Energy
Events
TimeGAN Time-series Generative Adversarial Networks TF
Stars
Forks
NeurIPS
2019
Imputation MIMIC-III
UWaveGesture
Inter-net Interpolation-Prediction Networks for Irregularly Sampled Time Series Keras
Stars
Forks
ICLR
2019
Imputation PhysioNet
KDD2018
E2gan E2gan: End-to-end generative adversarial network for multivariate time series imputation TF
Stars
Forks
IJCAI
2019
Imputation EC
RV
STI How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation Code
Stars
Forks
WWW
2019

Time Series Anomaly Detection

Task Data Model Paper Code Publication
Paper Nums: 30+
Anomaly
Detection
TimesNet CCM-TAD Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series None ICML
2026
Anomaly
Detection
MSL
SMAP
SWaT
WADI
PSM
COGNOS COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing Code
Stars
Forks
ICML
2026
Anomaly
Detection
LLM
MSL
SMAP
AnomSeer AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection Code
Stars
Forks
ICML
2026
Open-Set
Anomaly
UCR
ASD
PSM
SMD
IMPACT IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection Code
Stars
Forks
ICML
2026
Zero-Shot
Anomaly
SMAP
ECG
TimeRCD Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy Code
Stars
Forks
ICML
2026
Change
Point
Detection
TimesNet Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series None ICML
2026
Anomaly
Detection
TimesNet TeamWork TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling None ICML
2026
Anomaly Detection MindTS Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction Code
Stars
Forks
ICLR
2026
Anomaly Detection TimesNet Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization Code
Stars
Forks
ICLR
2026
Anomaly Detection Yahoo
KPI
WSD
NAB
Contextual and Seasonal LSTMs for Time Series Anomaly Detection Code
Stars
Forks
ICLR
2026
Anomaly Detection TimesNet ICDiffAD ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection None ICLR
2026
Anomaly Detection TimesNet Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring Code
Stars
Forks
ICLR
2026
Anomaly Detection TimesNet When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection Code ICLR
2026
Anomaly Detection TimesNet Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models None ICLR
2026
Anomaly Detection PSM
SWaT
SMAP
MSL
SMD
PGRF-Net PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection None ICLR
2026
Anomaly Detection TSB-AD PaAno PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection Code
Stars
Forks
ICLR
2026
Anomaly Detection TimesNet SEA-FGT SEA-FGT: Frequency-Guided Transformer with Semantic Expert Augment for Time Series Anomaly Detection Code KDD
2026
Anomaly Detection TimesNet Rethinking Time Series Anomaly Detection from a Dynamic Perspective: Temporal-Frequency-Curvature Fusion Code
Stars
Forks
KDD
2026
Anomaly Detection TimesNet DAMR DAMR: Dual Adaptive Multi-Head Representation Learning for Multivariate Time Series Anomaly Detection Code
Stars
Forks
KDD
2026
Anomaly Detection TimesNet CAAD CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency None KDD
2026
Anomaly Detection Network traffic DisenMamba Disentangling Multi-View Scanning in Mamba for Network Traffic Anomaly Detection Code
Stars
Forks
KDD
2026
Anomaly Detection TimesNet ReCATS ReCATS: Replay-Free Continual Anomaly Detection for Non-Stationary Multivariate Time Series Code
Stars
Forks
KDD
2026
Anomaly Detection RuleTwin RuleTwin: Physics-Constrained Rule Induction for Anomaly Detection in Industrial Multivariate Time Series Code
Stars
Forks
KDD
2026
Anomaly Detection TimesNet LatentFlow LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection None KDD
2026
Anomaly Detection MSL
SMAP
SMD
LEFT LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection Code
Stars
Forks
KDD
2026
Anomaly Detection TimesNet TimeRadar TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection Code
Stars
Forks
KDD
2026
Anomaly Detection TimesNet Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection Code
Stars
Forks
KDD
2026
Anomaly Detection Drift-Aware Memory-Augmented Spatio-Temporal Graph Attention for Industrial Anomaly Detection Code KDD
2026
Anomaly Detection SMD
SMAP
MSL
NAB
GCAD GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality Code
Stars
Forks
AAAI
2025
Anomaly Detection MBA
SMD
WADI
Exathlon
AP When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Code
Stars
Forks
ICML
2025
Anomaly Detection TimesNet KAN-AD KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks Code
Stars
Forks
ICML
2025
Anomaly Detection SWaT
WADI
PSM
SMD
MSL
CAROTS Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection Code
Stars
Forks
ICML
2025
Anomaly Detection TimesNet CANDI CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift Code
Stars
Forks
AAAI
2026
Anomaly Detection TimesNet DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection None AAAI
2026
Anomaly Detection TimesNet VLM4TS Harnessing Vision-Language Models for Time Series Anomaly Detection Code
Stars
Forks
AAAI
2026
Anomaly Detection TimesNet State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis None AAAI
2026
Anomaly Detection SMD
SMAP
PSM
MSL
TAIL-MIL TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection Code
Stars
Forks
AAAI
2025
Anomaly Detection SMD
SWAT
WADI
PSM
MSL
GraphMoE Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection None AAAI
2025
Anomaly Detection Yahoo
KPI
WSD
NAB
FCVAE Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective Code
Stars
Forks
WWW
2024
Anomaly Detection TODS
ASD
ECG
PSM
CompanyA
Dual-TF Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection Code
Stars
Forks
WWW
2024
Anomaly Detection SMD
J-D1
J-D2
SMAP
LARA LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection None WWW
2024
Anomaly Detection SWaT
WADI
PSM
SMD
MSL
SMAP
Crediy
Yahoo
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection Code
Stars
Forks
AAAI
2024
Anomaly Detection SMD
MSL
SMAP
SWaT
PSM
MEMTO MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection No NIPS
2023
Anomaly Detection PSM
SMD
SWaT
D3R Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection Code
Stars
Forks
NIPS
2023
Anomaly Detection SWaT
WADI
PSM
MSL
SMD
trimSyn
Framework Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction Code
Stars
Forks
NIPS
2023
Anomaly Detection SMD
MSL
SMAP
PSM
DND
PUAD Prototype-oriented unsupervised anomaly detection for multivariate time series Code
Stars
Forks
ICML
2023
Anomaly Detection UCR
SMD
surrogate Unsupervised Model Selection for Time Series Anomaly Detection Author ICLR
2023
Anomaly Detection MSL
SMAP
PSM
SMD
DCdetector DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection Code
Stars
Forks
KDD
2023
Anomaly Detection MSL
SWaT
WADI
PoA Precursor-of-Anomaly Detection for Irregular Time Series Code
Stars
Forks
KDD
2023
Anomaly Detection MSL
SWaT
PSM
SMAP
SMD
DiffAD Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models Code
Stars
Forks
KDD
2023
Anomaly Detection SMD
SMAP
MSL
SWaT
DAEMON Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation Code
Stars
Forks
AAAI
2023
Anomaly Detection SWaT
WADI
PSM
MSL
SMD
MTGFlow Detecting Multivariate Time Series Anomalies with Zero Known Label Code
Stars
Forks
AAAI
2023
Anomaly Detection SWaT
WADI SMAP
MSL
DuoGAT DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series Code
Stars
Forks
CIKM
2023
Anomaly Detection SWaT
SMAP
MSL
PSM
SMD
MadSGM MadSGM: Multivariate Anomaly Detection with Score-based Generative Models None CIKM
2023
Anomaly Detection SMD
Boiler
ContexTDA Context-aware Domain Adaptation for Time Series Anomaly Detection None SDM
2023
Anomaly Detection AIOps
UCR
COCA Deep Contrastive One-Class Time Series Anomaly Detection Merlion,Tsaug
Stars
Forks
SDM
2023
Anomaly Detection DND
SMD
MSL
SMAP
DVGCRN Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection Future ICML
2022
Anomaly Detection YelpChi
Amazon
T-Finance
T-Social
BWGNN Rethinking Graph Neural Networks for Anomaly Detection Code
Stars
Forks
ICML
2022
Anomaly Detection SMD
PSM
MSL&SMAP
SWaT
NeurIPS-TS
Anomaly Transformer Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Code
Stars
Forks
ICLR
2022
Density Estimation & Anomaly Detection PMU-B
PMU-C
SWaT
METR-LA
GANF Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Code
Stars
Forks
ICLR
2022
Anomaly Detection Anomaly Detection for Tabular Data with Internal Contrastive Learning None ICLR
2022
Anomaly Detection Machine-Temp
NYCTaxi
Twitter
SWaT
algorithmic Local Evaluation of Time Series Anomaly Detection Algorithms Python
Stars
Forks
KDD
2022
Anomaly Detection SWaT
WADI
HAI
FuSAGNet Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series Code
Stars
Forks
KDD
2022
Anomaly Detection Slef-defined RCAD RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks Code
Stars
Forks
KDD
2022
Anomaly Detection AnomalyKiTS AnomalyKiTS-Anomaly Detection Toolkit for Time Series None AAAI
2022
Anomaly Detection SWaT
WADI
MSL
SMAP
SMD
PA Towards a Rigorous Evaluation of Time-Series Anomaly Detection None AAAI
2022
Anomaly Detection YAHOO
SMAP
MSL
PSM
NCAD Neural Contextual Anomaly Detection for Time Series Future IJCAI
2022
Anomaly Detection SWaT
WADI
SMD
PSM
GRELEN GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning None IJCAI
2022
Anomaly Detection MSL
SMAP
MNIST
,etc
CADET CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias Future IJCAI
2022
Anomaly Detection ECG
HAR
MNIST
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach None IJCAI
2022
Anomaly Detection Business SLA-VAE A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems None WWW
2022
Anomaly Detection KDDCUP99
NSL
UNSW, etc
MemStream MemStream: Memory-Based Streaming Anomaly Detection Code
Stars
Forks WWW 2022
Anomaly Detection GD
HSS
ECG
NAB
Yahoo S5
2D
SYN
RDAE Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection Author ICDE
2022
Anomaly Detection GD
HSS
ECG
TD
Yahoo S5
BiVQRAEs Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders Code
Stars
Forks
ICDE
2022
Anomaly Detection SWaT
WADI
BATADAL
MAD-SGCN MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks None ICDE
2022
Anomaly Detection NAB
UCR
MBA
SMAP
MSL
SWaT
WADI
SMD
MSDS
TranAD TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data Code
Stars
Forks
VLDB
2022
Anomaly Detection KPI
Yahoo
SMAP
MSL
TFAD TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Code
Stars
Forks
CIKM
2022
Anomaly Detection SMAP
MSL
SMD
KARI
Synthetic
Attack Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability Code
Stars
Forks
CIKM
2022
Anomaly Detection Cora
Citeseer
PubMed
Flickr
ogbn-arxiv
LHML Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks Code
Stars
Forks
CIKM
2022
Anomaly Detection RT
NetSpd
RobustDTW Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection None CIKM
2022
Anomaly Detection CIFAR-1
CIFAR-10
Caltech 10
SLA2 Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection Code
Stars
Forks
CIKM
2022
Anomaly Detection SMD FDRC Online false discovery rate control for anomaly detection in time series Nçone NeurIPS
2021
Anomaly Detection SWaT
WADI
SMD
ASD
InterFusion Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding TF
Stars
Forks
KDD
2021
Anomaly Detection SMD
SWaT
PSM
BKPI
RANSynCoders Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization TF
Stars
Forks
KDD
2021
Anomaly Detection PUMP
WADI
SWaT
NSIBF Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering TF
Stars
Forks
KDD
2021
Anomaly Detection SWaT
WADI
GDN Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Code
Stars
Forks
AAAI
2021
Anomaly Detection SMD
SMAP
MSL
SWaT
DAEMON DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series Future ICDE
2021
Anomaly Detection KPI
Yahoo
FluxEV FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection Py WSDM
2021
Anomaly Detection DataLink Benchmark Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress None TKDE
2021
Earthquakes Detection NIED CrowdQuake A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning TF
Stars
Forks
KDD
2020
Anomaly Detection SWaT
WADI
SMD
SMAP
MSL
Orange
USAD USAD: UnSupervised Anomaly Detection on Multivariate Time Series Code
Stars
Forks
KDD
2020
Anomaly Detection NYC CHAT Cross-interaction hierarchical attention networks for urban anomaly prediction None IJCAI
2020
Anomaly Detection NYC-Bike
NYC-Taxi
Weather
NYC-POI
NYC-Anomaly
DST-MFN Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection None CIKM
2020
Anomaly Detection SMAP
MSL
TSA
MTAD-GAT Multivariate Time-Series Anomaly Detection via Graph Attention Network TF
Stars
Forks Code
ICDM
2020
Anomaly Detection SMAP
MSL
SMD
OmniAnomaly Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network TF
Stars
Forks
KDD
2019
Anomaly Detection GeoLife
TST
IRL-ADU Sequential Anomaly Detection using Inverse Reinforcement Learning None KDD
2019
Anomaly Detection donors
census
fraud
celeba ,etc
DevNet Deep Anomaly Detection with Deviation Networks Keras
Stars
Forks Code
KDD
2019
Anomaly Detection KPI
Yahoo
Microsoft
SR-CNN Time-Series Anomaly Detection Service at Microsoft None KDD
2019
Anomaly Detection power plant MSCRED A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data TF
Stars
Forks
AAAI
2019
Anomaly Detection ECG
Motion
BeatGAN BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series Code
Stars
Forks
IJCAI
2019
Anomaly Detection NAB
ECG
OED Outlier Detection for Time Series with Recurrent Autoencoder Ensembles TF
Stars
Forks
IJCAI
2019
Anomaly Detection KPIs Buzz Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE TF
Stars
Forks
INFOCOM
2019
Anomaly Detection KDDCUP
Thyroid
Arrhythmia
KDDCUP-Rev
DAGMM Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection Code
Stars
Forks
ICLR
2018
Anomaly Detection SMAP
MSL
telemanom Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding TF
Stars
Forks
KDD
2018
Anomaly Detection AD
AID362
aPascal
BM , etc
CINFO Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data Matlab AAAI
2018
Anomaly Detection KPIs Donut Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications TF
Stars
Forks
WWW
2018
Anomaly Detection MAWI DSPOT Anomaly Detection in Streams with Extreme Value Theory Python
Stars
Forks
KDD
2017
Anomaly Detection Power
Space
Engine
ECG
EncDec-AD LSTM-based encoder-decoder for multi-sensor anomaly detection Code ICML
2016
Anomaly Detection MORE MORE https://github.com/ZIYU-DEEP/IJCAI-Paper-List-of-Anomaly-Detection MORE IJCAI
Anomaly Detection MORE MORE DeepTimeSeriesModel MORE MORE
Anomaly Detection MORE MORE GuansongPang MORE MORE

Demand Prediction

Task Data Model Paper Code Publication
Paper Nums: 30+
Travel
Demand
CDP
SLD
STTD Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction Code
Stars
Forks
CIKM
2023
Travel
Demand
NYC Bike
NYC Taxi
AGND Adaptive Graph Neural Diffusion for Traffic Demand Forecasting None CIKM
2023
Traffic Demand BJSubway
NYCTaxi
CMOD Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction Code
Stars
Forks
KDD
2022
Job Demand IT
FIN
CONS
DH-GEM Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning Code
Stars
Forks
KDD
2022
Supply &
Demand
JONAS-NYC
JONAS-DC
COVID-CHI
COVID-US
EAST-Net Event-Aware Multimodal Mobility Nowcasting Code
Stars
Forks
AAAI
2022
Health Demand Family Van framework Using Public Data to Predict Demand for Mobile Health Clinics None AAAI
2022
Traffic Demand BJMetro
NYCTaxi
HMOD Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction Code
Stars
Forks
IJCAI
2022
Traffic Demand Chicago
LosAngeles
STGNN-DJD A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction Code
Stars
Forks
ICDE
2022
OD Demand Shanghai
Changsha
Beijing
CausalOD Causal Learning Empowered OD Prediction for Urban Planning Code
Stars
Forks
CIKM
2022
OD Demand NYC Taxi
Haikou
SZMetro
HSTN Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network TF
Stars
Forks
ICDM
2022
Traffic Demand NYC Bike
NYC Taxi
CCRNN Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Code
Stars
Forks
AAAI
2021
Traffic Demand BaiduBJ
BaiduSH
Ada-MSTNet Community-Aware Multi-Task Transportation Demand Prediction None AAAI
2021
Job Demand Online TDAN Talent Demand Forecasting with Attentive Neural Sequential Model None KDD
2021
Ambulance Demand Tokyo EMS-Pred Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks Code
Stars
Forks
ICDE
2021
Passenger Demand TaxiNYC SOUP SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply None ICDE
2021
Passenger Demand DiDiBJ
DiDiSH
Gallat Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction None ICDE
2021
Traffic Demand
Traffic Flow
Chengdu
Xian
DeepTP An Effective Joint Prediction Model for Travel Demands and Traffic Flows None ICDE
2021
Traffic Demand DiDiCD
NYCTaxi
DAGNN Dynamic Auto-Structuring Graph Neural Network: A Joint Learning Framework for Origin-Destination Demand Prediction None TKDE
2021
Traffic Demand TaxiNYC
CitiBikeNYC
MultiAttConvLSTM Multi-level attention networks for multi-step citywide passenger demands prediction None TKDE
2021
Market Demand Juhuasuan
Tiantiantemai
RMLDP Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records None WSDM
2021
Metro Demand MetroBJ2016
MetroBJ2018
CAS Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method None Transportation Research Part C 2021
Metro Demand MetroBJ2016
MetroBJ2018
ST-ED Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network None Transportation Research Part C 2021
Traffic Demand Seattlebike FairST Fairness-Aware Demand Prediction for New Mobility None AAAI
2020
Drug Demand Wikipedia None Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets None WWW
2020
Traffic Demand DiDiBJ
DiDiSH
MPGCN Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network Code
Stars
Forks
ICDE
2020
Traffic Demand NYC
DiDiCD
MPGCN Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks TF
Stars
Forks
ICDE
2020
Traffic Demand Bengaluru
NYC
GraphLSTM Grids Versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts Code
Stars
Forks
TITS
2020
Traffic Demand NYCbike
NYCtaxi
CoST-Net Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network None KDD
2019
Traffic Demand UCAR
DiDiCD
GEML Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling Keras
Stars
Forks
KDD
2019
Traffic Demand NYCbike
Meso West
CE-LSTM Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction None AAAI
2019
Traffic Demand Beijing
Shanghai
STMGCN Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting Code
Stars
Forks
AAAI
2019
Traffic Demand NYC-TOD CSTN Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction Keras
Stars
Forks
TITS
2019
Traffic Demand NYCtaxi MultiConvLSTM Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions None TITS
2019
Traffic Demand PEMS t-SNE Estimating multi-year origin-destination demand using high-granular multi-source traffic data None Transportation Research Part C 2018

Time Series Generation

Task Data Model Paper Code Publication
Paper Nums: 6
TS
Generation
Solar
Traffic
Wind
Temperature
Winformer Winformer: Transcending Pairwise Similarity for Time-series Generation None ICML
2026
TS
Generation
Benchmark
TimesNet ConTSG-Bench ConTSG-Bench: A Unified Benchmark for Conditional Time Series Generation Code
Stars
Forks
ICML
2026
Irregular
TS
Generation
TimesNet MN-Diff MN-Diff: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations Code
Stars
Forks
ICML
2026
TS
Generation
TimesNet TimeOmni-VL TimeOmni-VL: Unified Models for Time Series Understanding and Generation Code
Stars
Forks
ICML
2026
TS Generation Cryptocurrency CTBench CTBench: Cryptocurrency Time Series Generation Benchmark Code
Stars
Forks
ICLR
2026
TS Generation Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation None ICLR
2026
TS Generation fMRI Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification Code
Stars
Forks
ICLR
2026
TS Generation Stock PolarFormer PolarFormer: Radial-Angular Latent Modeling for Unconditional Time Series Generation Code
Stars
Forks
KDD
2026
TS Generation TimesNet Parallel Complex Diffusion for Scalable Time Series Generation Code
Stars
Forks
KDD
2026
TS Generation TimesNet Latent Causal Flow: Continuous Backdoor Adjustment for Time Series Generation Code
Stars
Forks
KDD
2026
TS Generation Stocks
ETTh1
Energy
fMRI
EEG
TimeBridge TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation Code
Stars
Forks
KDD
2026
TS Generation Air Quality
Synthetic
NICU heart rate
InstructTime Instruction-based Time Series Editing Code
Stars
Forks
KDD
2026
TS Generation TimesNet TSGDiff TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective Code
Stars
Forks
AAAI
2026
TS Generation TimesNet DiM-TS DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling Code
Stars
Forks
AAAI
2026
TS Generation BRIDGE BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimisation and Diffusion Modelling None ICML
2025
TS Generation VerbalTS VerbalTS: Generating Time Series from Texts None ICML
2025
TS Generation Sines
Stocks
Energy
PaD-TS Population Aware Diffusion for Time Series Generation Code
Stars
Forks
AAAI
2025
TS Generation TimeDP TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Code
Stars
Forks
AAAI
2025
TS Generation Stock
Energy
MuJoCo
ImagenTime Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Code
Stars
Forks
NIPS
2024
TS Generation AR1
Stock
Energy
Temperature
ECG
FIDE FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation Code
Stars
Forks
NIPS
2024
TS Generation Electricity
Traffic
Exchange
M4
UberTLC
Solar
KDDCup
Wikipedia
ANT ANT: Adaptive Noise Schedule for Time Series Diffusion Models glounts
Stars
Forks
NIPS
2024
TS Generation Sines
Stocks
ETTh
MuJoCo
Energy
Solar
fMRI
SDformer SDformer: Similarity-driven Discrete Transformer For Time Series Generation Code NIPS
2024
TS Generation Sines
Stocks
ETTh
MuJoCo
Energy
Solar
fMRI
Diffusion-TS Diffusion-TS: Interpretable Diffusion for General Time Series Generation Code
Stars
Forks
ICLR
2024
TS Generation FRED-MD
NN5 Daily
Temp Rain
Solar Weekly
LS4 Deep Latent State Space Models for Time-Series Generation Code
Stars
Forks
ICML
2023
TS Generation He ́non maps
Lorenz
fMRI
EEG
CR-VAE Causal Recurrent Variational Autoencoder for Medical Time Series Generation Code
Stars
Forks
AAAI
2023
TS Generation ETTh1
ETTh2
US Births
ILI
AEC-GAN AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation Code
Stars
Forks
AAAI
2023
TS Generation UCR TimeVQVAE Vector Quantized Time Series Generation with a Bidirectional Prior Model Code
Stars
Forks
AISTATS
2023
TS Generation USHCN
KDD-CUP
MIMIC-III
DGM Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series Code
Stars
Forks
AAAI
2021

Travel Time Estimation

Task Data Model Paper Code Publication
Paper Nums:20+
TTE Towards Robust Travel Time Estimation: An Out-of-Distribution Generalization Approach Code
Stars
Forks
KDD
2026
TTE Chengdu
Xi'an
Harbin
UNITE UNITE: A Unified Framework for Accurate and Efficient Origin-Destination and Route Travel Time Estimation Code KDD
2026
TTE DSETA DSETA: A Dual-Stage Continual Learning Framework for Travel Time Prediction in Dynamic Traffic Environments None KDD
2026
TTE MixTTE MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation None KDD
2026
OD TTE DiDi
Beijing
DutyTTE DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation None AAAI
2025
Package Delivery
TTE
Cainiao GMDNet GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution Code
Stars
Forks
AAAI
2023
Delivery
Time Estimation
Weihai
Hangzhou
IGT Inductive Graph Transformer for Delivery Time Estimation Code
Stars
Forks
WSDM
2023
Delivery
Time Estimation
JD and Amazon STTD Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction Code
Stars
Forks
CIKM
2023
TTE Jinan City
Nanjing City
GBTTE GBTTE: Graph Attention Network Based Bus Travel Time Estimation None CIKM
2023
TTE Beijing
Guangzhou
HierETA Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival Code
Stars
Forks
KDD
2022
TTE Beijing
Porto
MetaER-TTE MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation None IJCAI
2022
TTE Beijing
Shanghai
Tianjin
DuETA DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps None CIKM
2022
TTE Baidu:
Taiyuan
Huizhou
Hefei
SSML SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps Paddle KDD
2021
TTE DiDi:
Shenyang
HetETA HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival TF
Stars
Forks
KDD
2020
TTE DiDi:
Beijing
Suzhou
Shenyang
CompactETA CompactETA: A Fast Inference System for Travel Time Prediction None KDD
2020
TTE GTFS BusTr BusTr: Predicting Bus Travel Times from Real-Time Traffic None KDD
2020
TTE Taiyuan
Hefei
Huizhou
(Baidu)
BusTr ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps None KDD
2020
TTE NYC
IST
TKY
DeepJMT Context-aware Deep Model for Joint Mobility and Time Prediction None WSDM
2020
TTE Beijing
Shanghai
TTPNet TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding Code
Stars
Forks
TKDE
2020
TTE DiDiBJ RNML-ETA Road Network Metric Learning for Estimated Time of Arrival None ICPR
2020
TTE Cainiao DeepETA DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System None AAAI
2019
TTE Beijing
Shanghai
CTTE Aggressive driving saves more time? Multi-task learning for customized travel time estimation None IJCAI
2019
TTE Shanghai
Porto
DeepI2T Travel time estimation without road networks: an urban morphological layout representation approach None IJCAI
2019
TTE Porto
Chengdu
DeepIST DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation TF
Stars
Forks
CIKM
2019
TTE Singapore AtHy-TNet Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network None CIKM
2019
TTE BT-Traffic
PEMS07
Q-traffic
NASF Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation None CIKM
2019
TTE Chengdu
Beijing
DeepTTE When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks Code
Stars
Forks
AAAI
2018
TTE PORTO
SANFRANCISCO
NoisyOR Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads None AAAI
2018
TTE MORE MORE github MORE MORE

Traffic Location Prediction

Task Data Model Paper Code Publication
Paper Nums:20
Location AnchorGK AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging Code
Stars
Forks
KDD
2026
Location ETH+UCY
SDD
nuScenes
SportVU
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction None ICLR
2022
Location Beijing
Porto
MetaPTP MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction Kai Zheng Code-None KDD
2022
Location BaiduApollo
NGSIM
HeGA HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic Code
Stars
Forks
CIKM
2022
Location ETH
Hotel
Univ
Zara1
Zara2
SGTN Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios Code
Stars
Forks
CIKM
2022
Location Gowalla
Foursquare
WiFi-Trace
GCDAN Predicting Human Mobility via Graph Convolutional Dual-attentive Networks Code
Stars
Forks
WSDM
2022
Location MI
SIP
CMT-Net CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction None WSDM
2022
Location Gowalla
FS-NYC
FS-TKY
MobTCast MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction Author NeurIPS
2021
Location ETH
Hotel
Univ
Zara1
Zara2
CARPe CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction Code
Stars
Forks
AAAI
2021
Location ETH
Hotel
Univ
Zara1
Zara2
TPNMS Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision Code
Stars
Forks
AAAI
2021
Location ETH
Hotel
Univ
Zara1
Zara2
DMRGCN Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction Code
Stars
Forks
AAAI
2021
Location Gowalla
Foursquare
BSDA Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association None IJCAI
2021
Location ETH-UCY
Collisions
NGsim
Charges
NBA
FQA Multi-agent Trajectory Prediction with Fuzzy Query Attention Code
Stars
Forks
NeurIPS
2020
Location ETH-UCY
Collisions
NGsim
Charges
NBA
ARNN An Attentional Recurrent Neural Network for Personalized Next Location Recommendation None AAAI
2020
Location ETH
Hotel
Univ
Zara1
Zara2
MDNLSTM Multimodal Interaction-Aware Trajectory Prediction in Crowded Space None AAAI
2020
Location Atlantic OMuLeT OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting Matlab AAAI
2020
Location Gowalla
Foursquare
Flashback OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting Code
Stars
Forks
IJCAI
2020
Location CrowdCJ
TrashBins
B&B
MYOPIC
MALMCS Dynamic Public Resource Allocation Based on Human Mobility Prediction Python
Stars
Forks
UbiComp
2020
Location ETH
Hotel
Univ
Zara1
Zara2
Social-BiGAT Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks None NeurIPS
2019
Location Foursquare
Gowalla
VANext Predicting Human Mobility via Variational Attention None WWW
2019
Location Flickr
Foursquare
Geolife
CATHI Context-aware Variational Trajectory Encoding and Human Mobility Inference None WWW
2019
Location ETH
Hotel
Univ
Zara1
Zara2
STGAT STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction Code
Stars
Forks
ICCV
2019
Location BaiduBJ HST-LSTM HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction Code
Stars
Forks
IJCAI
2018
Location Foursquare
MobileAPP
CellularSH
DeepMove DeepMove: Predicting Human Mobility with Attentional Recurrent Networks Code
Stars
Forks
WWW
2018
Location MORE MORE github Hao Xue MORE
Location MORE MORE https://github.com/Pursueee/Trajectory-Paper-Collation Code
Stars
Forks
MORE

Event Prediction

Task Data Model Paper Code Publication
Paper Nums:21
Crime
Prediction
NYC
Chicago
ST-HHOL ST-HHOL: Spatio-Temporal Hierarchical Hypergraph Online Learning for Crime Prediction Code
Stars
Forks
ICLR
2026
Event Prediction TEN-DM TEN-DM: Topology-Enhanced Diffusion Model for Spatio-Temporal Event Prediction Code
Stars
Forks
ICLR
2026
Event Prediction 158 US counties EpiCF-Bench Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions Code
Stars
Forks
KDD
2026
Event Prediction Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes Code
Stars
Forks
KDD
2026
Crime
Accident
Chicago
LA
GeoPro-Net GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping None AAAI
2025
ST
Generation
Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation Code
Stars
Forks
AAAI
2026
Event ETT
PM2.5
IndD
NsTKA Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction Future KDD
2022
Crime Prediction Chicago Crime
LA Crime
HAGEN HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting Code
Stars
Forks
AAAI
2022
Event PEMS AGWN Early Forecast of Traffc Accident Impact Based on a Single-Snapshot Observation (Student Abstract) Code
Stars
Forks
AAAI
2022
Event SLA-VAE
E-commerce
RETE RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph Code
Stars
Forks
WWW
2022
Event NYC
Chicago
GSNet GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting Code
Stars
Forks
AAAI
2021
Event NYCIncidents
CHIIncidents
SFIncidents
STCGNN Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction Code
Stars
Forks
CIKM
2021
Event Thailand
Egypt
India
Russia
Covid-19
CMF Understanding Event Predictions via Contextualized Multilevel Feature Learning None CIKM
2021
Event Prediction DJIA30
WebTraffic
NetFlow
ClockErr
AbServe
EvoNet Time-Series Event Prediction with Evolutionary State Graph tf WSDM
2021
Event NYCIncidents
CHIIncidents
SFIncidents
PreView Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction None KDD
2020
Event Prediction MIMIC-III DSSM Deep State-Space Generative Model For Correlated Time-to-Event Predictions None KDD
2020
Event Beijing
Suzhou
Shenyang
RiskOracle RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework TF
Stars
Forks
AAAI
2020
Event NYCIncidents
CHIIncidents
STrans Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting None WWW
2020
Event FewEvent DMB-PN Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection dataset WSDM
2020
Event NYC
SIP
RiskSeq Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective None TKDE
2020
Event MemeTracker
Weibo
LANTERN Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling Code
Stars
Forks
NeurIPS
2019
Event Graph
Stack
SmartHome
CarIndicators
WGP-LN,
FD-Dir
Uncertainty on Asynchronous Time Event Prediction TF
Stars
Forks
NeurIPS
2019
Event Thailand
Egypt
India
Russia
DynamicGCN Learning Dynamic Context Graphs for Predicting Social Events Code
Stars
Forks
KDD
2019
Event NYCCollision
ChicagoCrime
NYCTaxi
DMPP Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information None KDD
2019
Event Civil
Air Quality
SIMDA Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting None AAAI
2019
Crime Prediction NYC Crime
NYC Anomaly
Chicago Crime
MiST MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting None WWW
2019
Event NYCAccident
NYCEvent
DFN Deep Dynamic Fusion Network for Traffic Accident Forecasting None CIKM
2019
Event Hetero-ConvLSTM Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data None KDD
2018

Stock Prediction

Task Data Model Paper Code Publication
Paper Nums:50+
Stock
Trading
NASDAQ
CSI 300
TPX100
Global30
CAST CAST: A Cross-Asset State-Space Trading System for Drawdown Control in Stock Markets Code
Stars
Forks
ICDM
2026
Stock
Forecasting
FinTexTS FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing Code
Stars
Forks
KDD
2026
Stock
Forecasting
FinStressTS FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance Code
Stars
Forks
KDD
2026
Stock
Forecasting
Integrating Inductive Biases in Transformers via Distillation for Financial Time Series Forecasting None KDD
2026
Stock
Forecasting
Disentangled Dual-Granularity Learning for Market-Adaptive Stock Return Forecasting under Non-Stationary Environments Code KDD
2026
Stock
Forecasting
ResDIF ResDIF: A Residual Disentanglement Framework for Interpretable Financial Time Series Forecasting via Spectrally-Enhanced Temporal Encoding None KDD
2026
Stock Return
Forecasting
CSI 300
CSI 500
UMI Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting Code
Stars
Forks
KDD
2025
Stock
Pre-training
CSI 300
CSI 500
StockPT Pre-training Time Series Models with Stock Data Customization Code
Stars
Forks
KDD
2025
Stock Ranking CSI 300
CSI 500
PDU Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting Code
Stars
Forks
KDD
2025
Stock
Forecasting
CSI 300
CSI 500
MLF Multi-period Learning for Financial Time Series Forecasting Code
Stars
Forks
KDD
2025
Stock
Prediction
CSI 300
CSI 800
S&P 500
DHMoE Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction None AAAI
2025
Alpha Factor
Mining
CSI 300
CSI 500
AlphaForge AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors Code
Stars
Forks
AAAI
2025
High-Frequency
Risk Factor
A-share HRFT HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer Code
Stars
Forks
WWW
2025
Stock Pattern
Modeling
CSI 300
NASDAQ
MERA MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns Code
Stars
Forks
WWW
2025
Stock Trend
Prediction
CSI 300
CSI 800
DYCOR DYCOR: Capturing Hidden Stock Relationships for Stock Trend Prediction None CIKM
2025
Chinese Stock
Multimodal
CSMD LightQuant CSMD: Curated Multimodal Dataset for Chinese Stock Analysis None CIKM
2025
Stock Trend
Prediction
NASDAQ
NYSE
MSTNN Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyperedge Learning None IJCAI
2025
Stock Price
Forecasting
A-share COGRASP COGRASP: Co-Occurrence Graph Based Stock Price Forecasting None IJCAI
2025
Financial News
Dataset
S&P 500 FNSPID FNSPID: A Comprehensive Financial News Dataset in Time Series Code
Stars
Forks
KDD
2024
High-Frequency
Trading
Crypto MacroHFT MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading Code
Stars
Forks
KDD
2024
Stock Price
Prediction
NASDAQ
NYSE
S&P500
StockMixer StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting Code
Stars
Forks
AAAI
2024
Stock Price
Prediction
CSI 300
CSI 800
MASTER MASTER: Market-Guided Stock Transformer for Stock Price Forecasting Code
Stars
Forks
AAAI
2024
Stock Movement
Prediction
Qin
MAEC
ECHO-GL ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction Code
Stars
Forks
AAAI
2024
Portfolio
Management
DJ 30
SP 500
HSI
EarnMore Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools Code
Stars
Forks
WWW
2024
Explainable
Stock Prediction
ACL18
CMIN
SEP Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models Code
Stars
Forks
WWW
2024
Stock Earnings
Forecasting
A-share FinReport FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model Code
Stars
Forks
WWW
2024
Stock Price
Prediction
CSI 300
CSI 800
S&P 500
NK225
MATCC MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross-time Correlations Code
Stars
Forks
CIKM
2024
Stock Movement
Prediction
CIKM18
BIGDATA22
Explainable Stock Price Movement Prediction using Contrastive Learning None CIKM
2024
Stock Trend
Prediction
CSI 300
CSI 800
S&P 500
NK225
LSR-IGRU LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU Code
Stars
Forks
CIKM
2024
Stock
Investment
NASDAQ
NYSE
ADB-TRM Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation None IJCAI
2024
Stock
Prediction
CSI 300
S&P 500
RSAP-DFM RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction None IJCAI
2024
Price Movement
Forecasting
CSI 300
Crypto
LARA Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling None IJCAI
2024
Stock Trend
Prediction
CSI 300
CSI 500
DoubleAdapt DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting Code
Stars
Forks
KDD
2023
Stock Movement
Prediction
ACL18
DJIA
PEN PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability TF
Stars
Forks
AAAI
2023
Stock
Prediction
NASDAQ
NYSE
CSI
RT-GCN Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction Code
Stars
Forks
ICDE
2023
Stock Movement
Prediction
S&P 500 ESTIMATE Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction Code
Stars
Forks
WSDM
2023
Stock Price
Prediction
ACL18 D-va Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Gluonts
Stars
Forks
CIKM
2023
Stock Price
Prediction
CSI 300
CSI 500
CSI 800
CISP Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction None CIKM
2023
Stock Movement
Prediction
Calls NumHTML NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting Future,Author AAAI
2022
Stock Prediction NASDAQ
NYSE
TSE
ALSP-TF Adaptive Long-Short Pattern Transformer for Stock Investment Selection None IJCAI
2022
Stock Prediction S&P 500
Ashare&HK
HISN Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation None IJCAI
2022
Stock
Prediction
S&P500
CSI300
Twitter
THGNN Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction None CIKM
2022
Stock
Prediction
CSI800 PASN Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market None CIKM
2022
Stock Movement
Prediction
NASDAQ
Bitcoin
KHIT Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction None ICDM
2022
Stock Movement
Prediction
CSI800 TRA Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport Code
Stars
Forks
KDD
2021
Stock Movement
Prediction
ACL18
KDD17
NDX100
CSI300
NI225
FTSE100
DTML Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts None KDD
2021
Stock
Prediction
Self-defined AD-GAT Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks Code
Stars
Forks
AAAI
2021
Stock Selection NASDAQ
NYSE
TSE
STHAN-SR Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach None AAAI
2021
Stock Movement
Prediction
TPX500 CGM Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling Code
Stars
Forks
IJCAI
2021
Stock Trend
Prediction
CSI300
SPX
TOPIX-100
HATR Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction None IJCAI
2021
Stock Movement
Prediction
NASDAQ
NYSE
TSE
China & HK
HyperStockGAT Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport None WWW
2021
Stock Trend
Prediction
CSI300
CSI500
REST REST: Relational Event-driven Stock Trend Forecasting None WWW
2021
Stock Trend
Prediction
CSI300
CSI800
NASDAQ100
CMLF Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion Code
Stars
Forks
CIKM
2021
Stock Movement
Prediction
Self-defined MFN Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework None AAAI
2020
Stock Movement
Prediction
TPX500
TPX100
LSTM-RGCN Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction Code
Stars
Forks
IJCAI
2020
Stock Movement
Prediction
NASDAQ
ChinaAShare
HMG-TF Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction None IJCAI
2020
Stock Trend
Prediction
FI-2010
CSI-2016
MTDNN Multi-scale Two-way Deep Neural Network for Stock Trend Prediction Future IJCAI
2020
Stock Price
Forecasting
Self-defined Dandelion Domain adaptive multi-modality neural attention network for financial forecasting Sklearn WWW
2020
Stock Volatility
Forecasting
Calls HTML Hierarchical Transformer-based Multi-task Learning for Volatility Prediction Code
Stars
Forks
WWW
2020
Quantitative
Investments
Self-defined KGEEF Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments None SIGIR
2020
Stock Price
Prediction
TAQ GARCH-LSTM Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators None CIKM
2020
Stock Movement
Prediction
HATS STHGCN Spatiotemporal hypergraph convolution network for stock movement forecasting Code
Stars
Forks
ICDM
2020
Stock Market
Prediction
Nikkei GNNs Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis None NeurIPSw
2019
Stock Trend
Prediction
ChineseStock IMTR Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction None KDD
2019
Stock Movement
Prediction
CSI200
CSI300
CSI500
RNN-MRFs Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification None KDD
2019
Stock Movement
Prediction
Self-defined TTIO Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding None KDD
2019
Stock Movement
Prediction
ACL18
KDD17
NDX100
CSI300
NI225
FTSE100
Adv-ALSTM Enhancing stock movement prediction with adversarial training TF
Stars
Forks
IJCAI
2019
Stock Prediction NASDAQ
NYSE
RSR Temporal Relational Ranking for Stock Prediction TF
Stars
Forks
TOIS
2019
Stock Movement
Prediction
Self-defined StockNet Stock Movement Prediction from Tweets and Historical Prices TF
Stars
Forks
ACL
2018
Stock Trend
Prediction
Self-defined HAN Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction TF
Stars
Forks
WSDM
2018
Stock Price
Prediction
Self-defined SFM Stock Price Prediction via Discovering Multi-Frequency Trading Patterns Keras
Stars
Forks
KDD
2017
Stock Movement
Prediction
NASDAQ
NYSE
KGEB-CNN Knowledge-Driven Event Embedding for Stock Prediction None COLING
2016

Other Forecasting

Task Data Model Paper Code Publication
Paper Nums:40+
TSC TimesNet CURE CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification None ICML
2026
TSC TimesNet Time-CoT Time-CoT: Hierarchical Reasoning with Temporal Semantic Codes for Multivariate Time Series Classification None ICML
2026
TSC
Medical
ECG
EEG
MIMIC
MedMamba MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification Code
Stars
Forks
ICML
2026
Foundation
TSC
UCR
UEA
Mantis Mantis: Lightweight Foundation Model for Time Series Classification Code
Stars
Forks
ICML
2026
Irregular
TSC
TimesNet One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification None ICML
2026
XAI
TS
Healthcare
Finance
Delta-XAI Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring Code
Stars
Forks
ICLR
2026
XAI
TS
TimesNet TimeSeg TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions Code
Stars
Forks
ICLR
2026
TSC Irregular TS PYRREGULAR PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks Code
Stars
Forks
ICLR
2026
TSC UEA MambaSL MambaSL: Exploring Single-Layer Mamba for Time Series Classification Code
Stars
Forks
ICLR
2026
TSC UEA TIMESLIVER TIMESLIVER: SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION Code
Stars
Forks
ICLR
2026
TSC UCR
UEA
CauKer CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data Code
Stars
Forks
ICLR
2026
TSC ECG
EEG
FORMED Repurposing Foundation Model for Generalizable Medical Time Series Classification Code
Stars
Forks
ICLR
2026
TS Analysis Rossmann
M5
Traffic
Temperature
MI Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks Code
Stars
Forks
KDD
2026
TS Analysis TimesNet DREAM Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning Code
Stars
Forks
KDD
2026
TSC UCR Language Pre-training Guided Masking Representation Learning for Time Series Classification None AAAI
2025
TSC UCR FreqRes Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification None ICML
2025
TSC UCR
UEA
FIC-TSC FIC-TSC: Learning Time Series Classification with Fisher Information Constraint None ICML
2025
TSC UCR SoftShape Learning Soft Sparse Shapes for Efficient Time-Series Classification Code
Stars
Forks
ICML
2025
TSC UCR UniShape A Unified Shape-Aware Foundation Model for Time Series Classification Code
Stars
Forks
AAAI
2026
TSC ECG
Medical
MedSpaformer MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification Code
Stars
Forks
AAAI
2026
XAI
TSC
UEA CONFETTI Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification Code
Stars
Forks
AAAI
2026
TSC UEA EdgeMTSC EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification Code
Stars
Forks
AAAI
2026
Irregular
TSC
FlowPath FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification Code
Stars
Forks
AAAI
2026
TSC UEA SVGL SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification None AAAI
2026
Irregular
TSC
Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification None AAAI
2026
Foundation
Few-shot
HAR DeepSenseMoE DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition None AAAI
2026
TSC UCR Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification None AAAI
2025
TSC UEA MPTSNet MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification Code
Stars
Forks
AAAI
2025
Foundation
Multimodal
ChatTime ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data Code
Stars
Forks
AAAI
2025
Event
TS
Weather
Finance
Healthcare
TimeCAP TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents Code
Stars
Forks
AAAI
2025
Sensor
Calibration
TESLA Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series Code
Stars
Forks
AAAI
2025
Water Temperature
Prediction
Delaware
River Basin
SR-MTL Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction None CIKM
2023
Telecommunication
Traffic
Forecasting
Milan (MI)
Trentino (TN)
TMLM Telecommunication Traffic Forecasting via Multi-task Learning Author WSDM
2022
Bitcoin
Volatility
Forecasting
Twitter D-TCN Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data TF
Stars
Forks
WSDM
2022
Rating
Migration
Prediction
Self META Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction None KDD
2022
COVID-19
Prediction
TokyoCOVID19 SAB-GNN Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data Code
Stars
Forks
KDD
2022
Service
Time
Prediction
DowBJ
SubBJ
MetaSTP Service Time Prediction for Delivery Tasks via Spatial Meta-Learning None KDD
2022
Physician
Burnout
Prediction
EHR
Burnout
HiPAL HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records TF
Stars
Forks
KDD
2022
Crop Yield Prediction American Crop GNN-RNN A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction None AAAI
2022
Epidemic Prediction Globe
US-State
US-County
CausalGNN CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting Future AAAI
2022
Soil Moisture
Forecasting
Spain
USA
DGLR Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture Code
Stars
Forks
IJCAI
2022
Disease Prediction Disease
Tumors
PopNet PopNet: Real-Time Population-Level Disease Prediction with Data Latency Code
Stars
Forks
WWW
2022
FakeNews Detection Snop
PolitiFact
GET Evidence-aware Fake News Detection with Graph Neural Networks Keras
Stars
Forks
WWW
2022
Crime Prediction NYC
Chicago
ST-HSL Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction Code
Stars
Forks
ICDE
2022
Popularity
Prediction
WbTopic
WbRepost
Twitter
HERI-GCN Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN Code
Stars
Forks
ICDE
2022
Parking Pricing SFMTA
SDOT
None Prediction-based One-shot Dynamic Parking Pricing None CIKM
2022
Future Citation APS
AMiner
DGNI Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction None CIKM
2022
Pandemic Forecasting Large-MG HiSTGNN Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting None CIKM
2022
Search Traffic
Forecasting
M5
FGSF
SQTE
STARDOM STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction None CIKM
2022
Crime Prediction NYC
Chicago
LTFMs Locality Aware Temporal FMs for Crime Prediction None CIKM
2022
Energy Markets Nordpool None A Graph-based Spatiotemporal Model for Energy Markets None CIKM
2022
Denoised Health
Risk Prediction
EHR MedSkim MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data Code
Stars
Forks
ICDM
2022
Demand
Prediction
E-Commerce
M5
Forchestra A Large-Scale Ensemble Learning Framework for Demand Forecasting Code
Stars
Forks
ICDM
2022
Transfer
Traffic Flow
Prediction
ShanghaiBIKE
NanjingBus
HaikouDiDi
CCMHC Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction Code
Stars
Forks
ICDM
2022
Precipitation
Nowcasting
ERA5
WeatherBench
SCC-ConvLSTM Spatiotemporal Contextual Consistency Network for Precipitation Nowcasting Future ICDM
2022
Transfer
Traffic Flow
Prediction
Shenzhen
HB
Chengdu
Xian
Mest-GAN Mest-GAN: Cross-City Urban Traffic Estimation with Meta Spatial-Temporal Generative Adversarial Networks None ICDM
2022
Transfer
Human Mobility
Prediction
Houston
Iowa City
STORM-GAN STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19 Code
Stars
Forks
ICDM
2022
Transfer
Traffic Flow
Prediction
Shenzhen
HB
Chengdu
Xian
STrans-GAN STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation None ICDM
2022
Churn Prediction Beidian
Epinions
CFChurn A Counterfactual Modeling Framework for Churn Prediction Code
Stars
Forks
WSDM
2022
Streaming
Traffic Flow
PEMS03 TrafficStream TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning Code
Stars
Forks
IJCAI
2021
Crime
Prediction
NYC
Chicago
ST-SHN Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning TF
Stars
Forks
IJCAI
2021
Purchase Intent Forecasting JD-e-commerce CHTR Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks None ICDE
2021
Popularity Prediction Tmall ATNN Adversarial Two-Tower Neural Network for New Item’s Popularity Prediction in E-commerce None ICDE
2021
Career Trajectory Prediction Company
Position
TACTP Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective None WWW
2021
Health Prediction NASH
AD
UNITE UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Code
Stars
Forks
WWW
2021
COVID-19 Forecasting JHUCSSE HierST HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting Code
Stars
Forks
CIKM
2021
Failure Prediction Water Pipe
Sewer Pipe
FP Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series None CIKM
2021
Publication Prediction CSJ
CSC
VPALG VPALG: Paper-publication Prediction with Graph Neural Networks None CIKM
2021
Water Quality Prediction PDE-DGN Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature None ICDM
2021
Risk Prediction COPD
HeartFailure
KidneyDiseases
HiTANet HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records Code
Stars
Forks
KDD
2020
Sales Prediction anonymized CARNN Attention based Multi-Modal New Product Sales Time-series Forecasting Code
Stars
Forks
KDD
2020
Economy Prediction IRS AMCN Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data None KDD
2020
Food Demand Ele.me OFCT Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery None KDD
2020
Parking Prediction Beijing
Shanghai
SHARE Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction Code
Stars
Forks
AAAI
2020
Mortality Risk Prediction MIMIC-III
eICU
DATA-GRU DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series None AAAI
2020
Parking Prediction Ningbo
Changsha
PewLSTM PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction Code
Stars
Forks
IJCAI
2020
Health Risk Prediction MIMIC-III
ESRD
StageNet StageNet: Stage-Aware Neural Networks for Health Risk Prediction Code
Stars
Forks
WWW
2020
Micro-video Popularity Prediction Xigua MMVED A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction TF
Stars
Forks
WWW
2020
Drug Demand Prediction Wikipedia Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets None WWW
2020
Epidemic Prediction IDWR
CDC
US-HHS
Cola-GNN Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction Code
Stars
Forks
CIKM
2020
Risk Prediction HeartFailure
KidneyDisease
Dementia
LSAN LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction Code
Stars
Forks
CIKM
2020
Lightning Prediction Lightning HSTN A Heterogeneous Spatiotemporal Network for Lightning Prediction Future ICDM
2020
Disease Prediction mPower RNNODE Predicting Parkinson’s Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data None ICDM
2020
Turbulence Prediction Turbulence T^2-Net T^2-Net: A Semi-Supervised Deep Model for Turbulence Forecasting None ICDM
2020
Popularity Prediction Sina Weibo CoupledGNN Popularity Prediction on Social Platforms with Coupled Graph Neural Networks TF
Stars
Forks
WSDM
2020
Job Mobility Prediction Self HCPNN A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction Python
Stars
Forks
KDD
2019
Lightning Prediction Lightning LightNet LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction Keras
Stars
Forks
KDD
2019
Diagnosis Prediction MIMICIII MNN MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction None IJCAI
2019
Crime Prediction CrimeCHI
CrimeNYC
NN-CCRF Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction None IJCAI
2019
Talent Flow Forecasting OPNs ETF Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? None WWW
2019
Sales Prediction Snack
PG&U
DSF A Deep Neural Framework for Sales Forecasting in E-Commerce None CIKM
2019
Load Prediction Charging Stations HCFN Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations None CIKM
2019
Mortality Risk Prediction PUB
MIMIC-III
UA-CRNN UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction None CIKM
2019
House Price Prediction NYCHouse
BJHouse
FTD_DenseNet An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective None ICDM
2019
Water Quality Prediction TC Predicting Water Quality for the Woronora Delivery Network with Sparse Samples None ICDM
2019

Conferences

❗ It is highly recommended to utilize dblp and Aminer (in Chinese) to search.

Some more useful websites:

Table of Conferences

Conference Approximate submission time
IJCAI 1.14~2.15
ICML 1.23~2.24
KDD 2.3~2.17
CIKM 5.15~5.26
NeurIPS 5.18~6.5
ICDM 6.5~6.17
WSDM 7.17~8.16
AAAI 9.5~9.15
ICLR 9.25~10.27
WWW 10.14~11.5
ICDE-1 6.1~7.21
ICDE-2 10.1~11.17
Approximate conference submission times from the most recent 7 years.

Conference (Journal) CCF Ranks

Conference (Journal) CCF Rank
ICML A
NeurIPS A
ICLR None but top
KDD A
AAAI A
IJCAI A
ICDE A
WWW A
ACL A
INFOCOM A
SIGIR A
VLDB A
UbiComp A
TKDE A
TPAMI A
TOIS A
CIKM B
ICDM B
WSDM B
COLING B
TNNLS B
TITS B
AISTATS C but top
ICPR C
Transportation Research Part C SCI 1 Top

Note that: AISTATS is CCF C but is top in computational mathematics (such as for probabilistic problems).

ICML

Proceeding Page https://proceedings.mlr.press/ Homepage https://icml.cc

Conference Source Deadline Notification
ICML
2022
https://icml.cc/Conferences/2022/Schedule Jan 27, 2022
ICML
2021
https://icml.cc/Conferences/2021/Schedule
ICML
2020
https://icml.cc/Conferences/2020/Schedule
ICML
2019
https://icml.cc/Conferences/2019/Schedule

NeurIPS

All Links

ICLR

Finding it on openreview:

Homepage https://openreview.net/group?id=ICLR.cc

Conference Source Deadline Notification
ICLR
2022
https://openreview.net/group?id=ICLR.cc/2022/Conference Oct 06 '21 Jan 24 '22
ICLR
2021
https://openreview.net/group?id=ICLR.cc/2021/Conference
ICLR
2020
https://openreview.net/group?id=ICLR.cc/2020/Conference

KDD

Format : https://www.kdd.org/kdd20xx/accepted-papers

Conference Source Deadline Notification
KDD-22 Feb 10th, 2022 May 19th, 2022
KDD-21 Link
KDD-20 Link
KDD-19 Link
KDD-18 Link
KDD-17 Link

AAAI

Conference Source Deadline Notification
AAAI-22 Link September 8, 2021 November 29, 2021
AAAI-21 Link
AAAI-20 Link
AAAI-19 Link
AAAI-18 Link
AAAI-17 Link
AAAI-16 Link
AAAI-15 Link
AAAI-14 Link
AAAI-13 Link

IJCAI

Conference Source Deadline Notification
IJCAI-22 Link
IJCAI-21 Link
IJCAI-20 Link
IJCAI-19 Link
IJCAI-18 Link
IJCAI-17 Link
IJCAI-16 Link
IJCAI-15 Link
IJCAI-14 None

ICDE

IEEE International Conference on Data Engineering

All Links

WWW

TheWebConf

Conference Source Deadline Notification
WWW-22 Link 2021-10-21 ... 2022-01-13 ...
WWW-21 Link
WWW-20 Link
WWW-19 Link
WWW-18 Link
WWW-17 Link

CIKM

The Conference on Information and Knowledge Management

All Links

ICDM

IEEE International Conference on Data Mining

All Links

WSDM

ACM Web Search and Data Mining

All Links

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