 |
 |
 |
 |
|
 |
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
 |
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
 |
ICML 2026 |
LLM Benchmark |
Health TS |
HEARTS |
HEARTS: Benchmarking LLM Reasoning on Health Time Series |
Code
 |
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
 |
ICML 2026 |
| Physiological |
MIMIC PhysioNet |
|
Self-Supervised Dynamical System Representations for Physiological Time-Series |
Code
 |
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
 |
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
 |
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
 |
ICML 2026 |
Robust Multivariat |
TimesNet |
DropoutTS |
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting |
Code
 |
ICML 2026 |
| Multivariat |
TimesNet |
|
Time-series forecasting through the lens of dynamics |
Code
 |
ICML 2026 |
Weather Benchmark |
WEATHER-5K |
|
Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting |
Code
 |
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
 |
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
 |
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
 |
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
 |
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
 |
ICML 2026 |
| Multivariat |
TimesNet |
|
Reviving Error Correction in Modern Deep Time-Series Forecasting |
Code
 |
ICML 2026 |
| Multivariat |
TimesNet |
MemCast |
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning |
Code
 |
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
 |
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
 |
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
 |
ICML 2026 |
Foundation Multivariat |
TimesNet |
|
See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling |
Code
 |
ICML 2026 |
Robust Multivariat |
TimesNet |
TameR |
Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context |
Code
 |
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
 |
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
 |
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
 |
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
 |
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
 |
ICLR 2026 |
| Multivariat |
TimesNet |
CoRA |
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
PHAT |
PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting |
Code
 |
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
 |
ICLR 2026 |
| Multivariat |
TimesNet |
CPiRi |
CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
GTR |
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
TimeAli |
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
GCGNet |
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables |
Code
 |
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
 |
ICLR 2026 |
Robust Multivariat |
TimesNet |
|
Local Geometry Attention for Time Series Forecasting under Realistic Corruptions |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
FACT |
FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting |
Code
 |
ICLR 2026 |
Foundation Multivariat |
|
Aurora |
Aurora: Towards Universal Generative Multimodal Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
The Forecast After the Forecast: A Post-Processing Shift in Time Series |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
ADAPT-Z |
Online time series prediction using feature adjustment |
Code
 |
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
 |
ICLR 2026 |
| Multivariat |
TimesNet |
xCPD |
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition |
Code
 |
ICLR 2026 |
Irregular Multivariat |
|
ASTGI |
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
ProtoTS |
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
PhaseFormer |
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting |
Code
 |
ICLR 2026 |
Irregular Multivariat |
|
ReIMTS |
Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
SE-LLM |
Semantic-Enhanced Time-Series Forecasting via Large Language Models |
Code
 |
ICLR 2026 |
| Analysis |
TimesNet |
TimeRecipe |
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
ShifTS |
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
QDF |
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
DistDF |
DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment |
Code
 |
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
 |
ICLR 2026 |
| Analysis |
TimesNet |
|
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
UniCA |
UniCA: Unified Covariate Adaptation for Time Series Foundation Model |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
TimeOmni-1 |
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
|
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
|
Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models |
Code
 |
ICLR 2026 |
FL Foundation |
TimesNet |
FeDaL |
FeDaL: Federated Dataset Learning for General Time Series Foundation Models |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
SwiftTS |
SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
SFF |
Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
GTM |
GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
AutoDA |
AutoDA-Timeseries: Automated Data Augmentation for Time Series |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
TS-Memory |
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models |
Code
 |
KDD 2026 |
| Multivariat |
|
|
Eliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
CCD |
CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
STM3 |
STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
CAST-Norm |
CAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
RePatch |
RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting |
Code
 |
KDD 2026 |
| Traffic |
LargeST |
STUNet |
Unified Spatio-Temporal Tokens are Bases for Generalizable Traffic Forecasting |
Code
 |
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
 |
KDD 2026 |
| Multivariat |
TimesNet |
TS-MTM |
TS-MTM: Temporal-Spectral Masked Time-Series Modeling for Forecasting |
Code
 |
KDD 2026 |
| Traffic |
PEMS |
|
Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction |
Code
 |
KDD 2026 |
| Multivariat |
|
|
Orbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal Graph |
Code
 |
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
 |
KDD 2026 |
| Traffic |
NYC Washington DC Chicago |
FreMo |
Frequency-Domain Multi-Modality Transportation Modeling |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
PatchCLE |
PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning |
Code
 |
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
 |
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
 |
KDD 2026 |
| Multivariat |
TimesNet |
|
Efficient Test-Time Scaling for LLM-based Time Series Forecasting |
Code
 |
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
 |
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
 |
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
 |
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
 |
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
 |
KDD 2026 |
| Traffic |
PEMS |
|
Incident-Guided Spatiotemporal Traffic Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
TimeDistill |
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
LoFT-LLM |
LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models |
Code
 |
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
 |
KDD 2026 |
| Multivariat |
TimesNet |
|
From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting |
Code
 |
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
 |
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
 |
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
 |
WWW 2026 |
| Multivariat |
TimesNet |
|
Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting |
Code
 |
WWW 2026 |
| Multivariat |
TimesNet |
|
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS |
Code
 |
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
 |
WWW 2026 |
| Multivariat |
|
Time-TK |
Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting |
Code
 |
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
 |
WWW 2026 |
| Traffic |
NYC PeMS |
PLM-CUP |
Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis |
Code
 |
AAAI 2026 |
| Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 |
MetaDG |
Meta Dynamic Graph for Traffic Flow Prediction |
Code
 |
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
 |
AAAI 2026 |
| Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 |
HyperD |
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting |
Code
 |
AAAI 2026 |
| Traffic |
PEMS07 PEMS08 PEMS-BAY METR-LA Melbourne |
GenCast |
Generalising Traffic Forecasting to Regions Without Traffic Observations |
Code
 |
AAAI 2026 |
Traffic Kriging |
PEMS03 PEMS04 PEMS-BAY AIR36 USHCN |
DarkFarseer |
DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise |
Code
 |
AAAI 2026 |
ST Estimation |
JNTaxi JHSales BJAir METR-LA PEMS08 |
WaveDiST |
WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations |
Code
 |
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
 |
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
 |
AAAI 2026 |
Irregular Multivariat |
|
APN |
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
|
Goal-Oriented Time-Series Forecasting: Foundation Framework Design |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
MDMLP-EIA |
MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
Sonnet |
Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting |
Code
 |
AAAI 2026 |
FL Multivariat |
|
FedSkeleton |
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
T3Time |
T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
FreDN |
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
OccamVTS |
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
ETT ECL Traffic Weather |
DTAF |
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
TimeMosaic |
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
XLinear |
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs |
Code
 |
AAAI 2026 |
Attack Multivariat |
TimesNet |
TDBA |
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
DeepBooTS |
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
EMAformer |
EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting |
Code
 |
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
 |
AAAI 2026 |
Irregular Multivariat |
|
|
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
HN-MVTS |
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
APT |
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift |
Code
 |
AAAI 2026 |
| Multivariat |
TimesNet |
FreqCycle |
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting |
Code
 |
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
 |
AAAI 2026 |
| Multivariat |
TimesNet |
|
Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting |
Code
 |
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
 |
AAAI 2026 |
| Multivariat |
TimesNet |
|
Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-local Representation Synergy in Multivariate Time Series Forecasting |
Code
 |
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
 |
NIPS 2025 |
| Multivariat |
TimesNet |
TARFVAE |
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
MAFS |
Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation |
Code
 |
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
 |
NIPS 2025 |
| Multivariat |
TimesNet |
xLSTM-Mixer |
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
TFPS |
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
SymTime |
Synthetic Series-Symbol Data Generation for Time Series Foundation Models |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
OLinear |
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
TimeEmb |
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
Time-o1 |
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
TimePerceiver |
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
MSFT |
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
DBLoss |
DBLoss: Decomposition-based Loss Function for Time Series Forecasting |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
SRSNet |
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
IF |
Towards Accurate Time Series Forecasting via Implicit Decoding |
Code
 |
NIPS 2025 |
| Multivariat Zero Shot |
TimesNet |
TS-RAG |
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster |
Code
 |
NIPS 2025 |
| Multivariat Traffic |
TimesNet PEMS03 PEMS04 PEMS07 PEMS08 |
PIR |
Improving Time Series Forecasting via Instance-aware Post-hoc Revision |
Code
 |
NIPS 2025 |
| Multivariat Traffic |
Wind Temp PM25
|
STELLA |
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
AliO |
AliO: Output Alignment Matters in Long-Term Time Series Forecasting |
Code
 |
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
 |
NIPS 2025 |
| Multivariat |
TimesNet |
|
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
PIH |
Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
SCAM |
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting |
Code
 |
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
 |
NIPS 2025 |
| Multivariat |
TimesNet |
DecompNet |
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet other |
S2TS-LLM |
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
MSFT |
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
AMRC |
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
SL |
Selective Learning for Deep Time Series Forecasting |
Code
 |
NIPS 2025 |
| Multivariat |
TimesNet |
LightGTS |
LightGTS: A Lightweight General Time Series Forecasting Model |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
LETS |
LETS Forecast: Learning Embedology for Time Series Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
TimeBase |
TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
RAFT |
Retrieval Augmented Time Series Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
CN |
Channel Normalization for Time Series Channel Identification |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
TimeBridge |
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting |
Code
 |
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
 |
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
 |
ICML 2025 |
| Multivariat |
ECL Nottingham |
FSTLLM |
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting |
Code
 |
ICML 2025 |
| Traffic |
NYC CHI SIP SD |
SynEVO |
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation |
Code
 |
ICML 2025 |
Traffic ST |
ETT ECL |
RSTIB |
Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
ETT Weather ECL Exchange |
PatchLoss |
Patch-wise Structural Loss for Time Series Forecasting |
Code
 |
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
 |
ICML 2025 |
| Analysis |
Synthetic ECG5000 |
|
Exploring Representations and Interventions in Time Series Foundation Models |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
CFPT |
CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
TimePro |
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state |
Code
 |
ICML 2025 |
| Traffic |
ETT Traffic ECL Weather Solar PEMS |
TimeFilter |
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
Time-VLM |
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
LangTime |
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization |
Code
 |
ICML 2025 |
Irregular Multivariat |
MuJoCo MIMIC USHCN |
ShiftingTime |
Shifting time: Time-series forecasting with Khatri-Rao neural operators |
Code
 |
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
 |
ICML 2025 |
| Analysis |
ECL ETT |
|
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
TQNet |
Temporal Query Network for Efficient Multivariate Time Series Forecasting |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
WAVE |
WAVE: Weighted Autoregressive Varing Gate for Time Series Forecasting |
Code
 |
ICML 2025 |
Foundation Multivariat |
|
Sundial |
Sundial: A Family of Highly Capable Time Series Foundation Models |
Code
 |
ICML 2025 |
Foundation Zero Shot |
GIFT-EVAL |
VisionTS |
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters |
Code
 |
ICML 2025 |
| Multivariat |
TimesNet |
TimeFuse |
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting |
Code
 |
ICML 2025 |
Irregular Multivariat |
PhysioNet MIMIC-III HAR USHCN |
Hi-Patch |
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series |
Code
 |
ICML 2025 |
Irregular Multivariat |
MIMIC-III MIMIC-IV PhysioNet HAR USHCN |
HyperIMTS |
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting |
Code
 |
ICML 2025 |
Irregular Multivariat |
|
VIMTS |
IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction |
Code
 |
ICML 2025 |
| Evolve Traffic |
Air-Str PEMS-Str Energy-Str |
EAC |
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
TimeMixer++ |
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
Time-MoE |
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
TVNet |
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
TimeKAN |
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
ICTSP |
In-context Time Series Predictor |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
FSCA |
Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series](https://openreview.net/forum?id=syC2764fPc) |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
SimpleTM |
SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting](https://openreview.net/forum?id=oANkBaVci5) |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
|
Towards Neural Scaling Laws for Time Series Foundation Models](https://openreview.net/forum?id=uCqxDfLYrB) |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
Timer-XL |
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting |
Code
 |
ICLR 2025 |
| Multivariat |
TimesNet |
LCESN |
Locally Connected Echo State Networks for Time Series Forecasting |
Code
 |
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
 |
KDD 2025 |
| Traffic |
LargeST |
PatchSTG |
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective |
Code
 |
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
 |
KDD 2025 |
| Multivariat |
TimesNet |
DUET |
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
TSFM-Bench |
TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
QuantumTime |
Quantum Time-index Models with Reservoir for Time Series Forecasting |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
ST-MTM |
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
CMA |
CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
CrossLinear |
CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
BLAST |
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
TimeCapsule |
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
MoA |
Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting |
Code
 |
KDD 2025 |
| Multivariat |
TimesNet |
SDE |
SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting |
Code
 |
KDD 2025 |
| Traffic |
BIKE PEMS03 BJ500 METR-LA |
STH-SepNet |
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs |
Code
 |
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
 |
KDD 2025 |
| Traffic |
PEMS04 PEMS08 METR-LA |
STDN |
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting |
Code
 |
AAAI 2025 |
| Metro Traffic |
PEMS Urban Rail |
ReDyNet |
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting |
Code
 |
AAAI 2025 |
| Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 |
STSGNN |
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling |
Code
 |
AAAI 2025 |
Foundation Traffic |
PEMS03 PEMS04 METR-LA |
STD-PLM |
STD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLM |
Code
 |
AAAI 2025 |
Inductive Traffic |
PEMS03 PEMS04 METR-LA |
ST-FiT |
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data |
Code
 |
AAAI 2025 |
Traffic Distillation |
PEMS03 PEMS04 PEMS07 PEMS08 METR-LA |
LightST |
Efficient Traffic Prediction through Spatio-Temporal Distillation |
Code
 |
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
 |
AAAI 2025 |
Fairness Traffic |
PEMS04 PEMS08 METR-LA |
FairTP |
FairTP: A Prolonged Fairness Framework for Traffic Prediction |
Code
 |
AAAI 2025 |
SSL Pretrain Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 |
ST-ReP |
ST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal Forecasting |
Code
 |
AAAI 2025 |
Long-term Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 METR-LA |
DST-Mamba |
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction |
Code
 |
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
 |
AAAI 2025 |
| Multivariat |
TimesNet |
TimeCMA |
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment |
Code
 |
AAAI 2025 |
| Multivariat |
ETT Weather Solar ECL Traffic |
AMD |
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
Times2D |
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
VarDrop |
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
PatchMLP |
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
Amplifier |
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
P-sLSTM |
Unlocking the Power of LSTM for Long Term Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
Apollo-Forecast |
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
TAFAS |
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation |
Code
 |
AAAI 2025 |
| Multivariat |
ETT Weather ECL Traffic Solar Stock Exchange |
ARMD |
Auto-Regressive Moving Diffusion Models for Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
xPatch |
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition |
Code
 |
AAAI 2025 |
| Multivariat |
ETT ECL Exchange Traffic Weather |
Affirm |
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
ETT Weather ECL |
LSINet |
A Lightweight Sparse Interaction Network for Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
Solar ECL Traffic Taxi Wikipedia |
HDT |
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting |
Code
 |
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
 |
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
 |
AAAI 2025 |
| Multivariat |
ETT ECL Exchange ILI Solar Traffic Weather |
WPMixer |
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting |
Code
 |
AAAI 2025 |
| Multivariat |
TimesNet |
FSatten |
Revisiting Attention for Multivariate Time Series Forecasting |
Code
 |
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
 |
AAAI 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 ETTh2 ETTm1 |
LSTD |
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting |
Code
 |
AAAI 2025 |
| Analysis |
M3 M4 Tourism |
|
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine |
Code
 |
AAAI 2025 |
| SSL Repr |
SleepEEG UCR |
FMI |
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning |
Code
 |
AAAI 2025 |
SSL Pretrain |
ETT Exchange PEMS |
DropPatch |
Enhancing Masked Time-Series Modeling via Dropping Patches |
None |
AAAI 2025 |
| Multivariat |
TimesNet |
SoP |
Non-collective Calibrating Strategy for Time Series Forecasting |
Code
 |
IJCAI 2025 |
| Multivariat |
TimesNet |
VisMoE |
Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models |
Code
 |
CIKM 2025 |
| Multivariat |
TimesNet |
BIM3 |
Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting |
Code
 |
CIKM 2025 |
| Multivariat |
TimesNet |
BALM-TS |
BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting |
Code
 |
CIKM 2025 |
| Multivariat |
TimesNet |
AdaPatch |
AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting |
Code
 |
CIKM 2025 |
| Multivariat |
TimesNet |
WDformer |
WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting |
Code
 |
CIKM 2025 |
| Multivariat |
TimesNet |
HRCformer |
HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting |
None |
CIKM 2025 |
| Multivariat |
METR-LA PEMS-BAY China-AQI Electricity Solar Temperature |
ST-Hyper |
ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting |
None |
CIKM 2025 |
| Multivariat |
TimesNet |
EAPformer |
Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting |
Code
 |
CIKM 2025 |
| 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 |
| Zero Shot |
Parking TimesNet |
DANet |
DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction |
None |
CIKM 2025 |
| Multivariat |
TimesNet |
|
Structural Entropy-based Multivariate Time Series Forecasting |
None |
CIKM 2025 |
| Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY |
TopKNet |
TopKNet:Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting |
Code
 |
CIKM 2025 |
| Traffic |
NYCTaxi CityBike METR-LA PEMS-BAY |
ST-LINK |
ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting |
Code
 |
CIKM 2025 |
Traffic Random Missing |
PEMS04 PEMS08 |
STMMoE |
Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts |
Code
 |
CIKM 2025 |
Traffic Node Missing |
PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY ... |
STA-GANN |
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach |
Code
 |
CIKM 2025 |
| Finance |
Crypto Forex Future Stock Econ Others |
FinCast |
FinCast: A Foundation Model for Financial Time-Series Forecasting |
Code
 |
CIKM 2025 |
| Wind Power |
China Texas |
|
Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEs |
None |
CIKM 2025 |
| Traffic |
PEMS04 PEMS07 PEMS08 CHIBike |
DSformer |
Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting |
Code
 |
CIKM 2025 |
| Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 |
DoP |
Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting |
Code
 |
CIKM 2025 |
| Traffic |
PEMS07(M) PEMS07 PEMS08 NYCTaxi NYCBike |
SSMOE |
Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction |
None |
CIKM 2025 |
| Traffic |
PEMS04 PEMS07 PEMS08 |
MultiGran |
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes |
None |
CIKM 2025 |
| Traffic |
I-80 US-101 Complex- highway |
TPN |
Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation |
Code
 |
CIKM 2025 |
| Traffic |
PEMS04 PEMS07 PEMS08 Jinan |
FEDDGCN |
FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction |
None |
CIKM 2025 |
| Multivariat |
TimesNet |
SSCNN |
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
|
Are Language Models Actually Useful for Time Series Forecasting? |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
PGN |
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
CATS |
Are Self-Attentions Effective for Time Series Forecasting? |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
Attraos |
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
Time-FFM |
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
Chimera |
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
TimeXer |
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
MiTSformer |
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
TTMs |
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
Sumba |
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
Peri-midF |
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
Ada-MSHyper |
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
... |
LPTM |
Large Pre-trained time series models for cross-domain Time series analysis tasks |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
CCM |
From Similarity to Superiority: Channel Clustering for Time Series Forecasting |
Code
 |
NIPS 2024 |
| Add News |
Electricity Exchange Traffic Bitcoin |
|
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection |
Code
 |
NIPS 2024 |
| Multivariat |
ImageBind IMU2CLIP IMUGPT HARGPT LLaVA |
UniMTS |
UniMTS: Unified Pre-training for Motion Time Series |
Code
 |
NIPS 2024 |
| Attack |
PEMS03 PEMS04 PEMS08 Weather ETTm1 |
BackTime |
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting |
Code
 |
NIPS 2024 |
| Less data |
Electricity Solar Traffic PEMS-BAY METR-LA |
ChronoEpilogi |
ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
FAN |
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
GLAFF |
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
FilterNet |
FilterNet: Harnessing Frequency Filters for Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
CycleNet |
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
RATD |
Retrieval-Augmented Diffusion Models for Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
DDN |
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
FBM |
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
BSA |
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
DeformableTST |
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
SOFTS |
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
|
Scaling Law for Time Series Forecasting |
Code
 |
NIPS 2024 |
| Multivariat |
TimesNet |
AutoTimes |
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models |
Code
 |
NIPS 2024 |
| Multi Task |
TimesNet |
UniTS |
UniTS: A Unified Multi-Task Time Series Model |
Code
 |
NIPS 2024 |
| Foundation TS |
... |
MOMENT |
MOMENT: A Family of Open Time-series Foundation Models |
Code
 |
ICML 2024 |
| Multivariat |
TimesNet |
OSL |
An Analysis of Linear Time Series Forecasting Models |
Code
 |
ICML 2024 |
| Six |
TimesNet |
UP2ME |
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis |
Code
 |
ICML 2024 |
| Multivariat |
TimesNet |
SparseTSF |
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters |
Code
 |
ICML 2024 |
| Multivariat |
Electricity PEMSD7M BikeNYC TimesNet |
SCNN |
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting |
Code
 |
TKDE 2024 |
| Multivariat |
TimesNet |
iTransformer |
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting |
Code
 |
ICLR 2024 |
| Multivariat |
NorPool Caiso Traffic Electricity Weather Exchange ETT Wind |
mr-Diff |
Multi-Resolution Diffusion Models for Time Series Forecasting |
None |
ICLR 2024 |
| Multivariat |
ETT Electricity Weather Traffic Exchange ILI |
ModernTCN |
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet |
Time-LLM |
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet |
TEMPO |
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet |
CARD |
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet |
ARM |
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning |
None |
ICLR 2024 |
| Multivariat |
TimesNet |
DAM |
DAM: Towards a Foundation Model for Forecasting |
None |
ICLR 2024 |
| Multivariat |
TimesNet PEMS3478 |
TimeMixer |
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet |
PDF |
Periodicity Decoupling Framework for Long-term Series Forecasting |
Code
 |
ICLR 2024 |
Multivariat Missing Value |
METR-LA Electricity PEMS ETT BeijingAir |
BiTGraph |
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet PEMS08 |
LIFT |
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators |
Code
 |
ICLR 2024 |
| Multivariat |
ETT Weather ILI Traffic |
STanHop |
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction |
Code
 |
ICLR 2024 |
| Multivariat |
ETT Weather Electricity Traffic ILI CloudCluster |
Pathformer |
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting |
Code
 |
ICLR 2024 |
| Multivariat |
TimesNet |
pits |
Learning to Embed Time Series Patches Independently |
Code
 |
ICLR 2024 |
| Multivariat |
ETT Weather Electricity Traffic |
FITS |
FITS: Modeling Time Series with 10k Parameters |
Code
 |
ICLR 2024 |
| Multivariat |
ETT Electricity Weather Lora |
AutoTCL |
Parametric Augmentation for Time Series Contrastive Learnin |
Code
 |
ICLR 2024 |
| Multivariat |
ETT Exchange ILI |
GLIP |
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction |
Code |
ICLR 2024 |
| Multivariat |
TimesNet |
Fredformer |
Fredformer: Frequency Debiased Transformer for Time Series Forecasting |
Code
 |
KDD 2024 |
| Multivariat |
TimesNet |
GPHT |
Generative Pretrained Hierarchical Transformer for Time Series Forecasting |
Code
 |
KDD 2024 |
| Multivariat |
TimesNet |
FRNet |
FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting |
Code
 |
KDD 2024 |
Missing MTS |
METR-LA PEMS-BAY PEMS04 PEMS08 China AQI |
GinAR |
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing |
Code
 |
KDD 2024 |
| Multivariat |
METR-LA PEMS-BAY PEMS04 PEMS07 PEMS08 |
HimNet |
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting |
Code
 |
KDD 2024 |
| Multivariat |
TimesNet |
CDS |
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift |
Code
 |
KDD 2024 |
Foundation Traffic |
TaxiBJ Crawd BikeNYC Cellular TDrive TrafficSH |
UniST |
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction |
Code
 |
KDD 2024 |
Early Traffic |
METR-LA EMS NYPD |
STEMO |
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning |
Code
 |
KDD 2024 |
New nodes Traffic |
Large-ST |
STONE |
STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts |
Code
 |
KDD 2024 |
Irregular Traffic |
Zhuzhou Baoding |
Aseer |
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks |
Code
 |
KDD 2024 |
| Multivariat |
Stock Exchange Weather |
CONTIME |
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization |
Code
 |
KDD 2024 |
| Multivariat |
PEMS07 Large-ST |
GWT |
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks |
Code |
KDD 2024 |
| Large Scale |
Large-ST |
RPMixer |
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data |
Code |
KDD 2024 |
Demand Supply Prediction |
Shanghai Zhengzhou |
MulSTE |
MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction |
Code
 |
KDD 2024 |
| Multivariat |
108s |
AutoXPCR |
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting |
TF
 |
KDD 2024 |
| Multivariat |
TimesNet |
UniTime |
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting |
Code
 |
WWW 2024 |
| Multivariat |
Ross Saratoga UpperPen SFC |
DAN |
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting |
Code
 |
AAAI 2024 |
| Multivariat |
ILI Weather Traffic Electricity ETT Exchange |
HDMixer |
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting |
Code
 |
AAAI 2024 |
| Multivariat |
PEMS03 PEMS04 PEMS07 PEMS08 England TaxiBJ PEMS-BAY |
STPGNN |
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting |
None |
AAAI 2024 |
| Multivariat |
FD001 FD002 FD003 FD004 |
FC-STGNN |
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data |
Code
 |
AAAI 2024 |
| Multivariat |
PEMS04 PEMS08 blockchain |
TMP-Nets |
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence |
None |
AAAI 2024 |
| Multivariat |
METR-LA PEMS-BAY |
ModWaveMLP |
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting |
TF
 |
AAAI 2024 |
| Multivariat |
Flight Weather ETT Electricity Exchange |
MSGNet |
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting |
Code
 |
AAAI 2024 |
| Multivariat |
Self-PeMS |
DLF |
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective |
Code
 |
AAAI 2024 |
| Multivariat |
ETT Weather ILI Exchange |
HTV-Trans |
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting |
Code
 |
AAAI 2024 |
| Multivariat |
A-share Cross-Market ETT |
ST-DAN |
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction |
Code
 |
AAAI 2024 |
| Six |
TimesNet |
CTRL |
An NCDE-based Framework for Universal Representation Learning of Time Series |
Code
 |
IJCAI 2024 |
| Traffic |
PEMS3478 |
STD-MAE |
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting |
Code
 |
IJCAI 2024 |
| Multivariat |
TimesNet |
DERITS |
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting |
None |
IJCAI 2024 |
| Multivariat |
TimesNet |
Skip-Timef |
Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting |
None |
IJCAI 2024 |
| Multivariat |
TimesNet |
VCformer |
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting |
Code
 |
IJCAI 2024 |
| Multivariat |
TimesNet |
LeRet |
LeRet: Language-Empowered Retentive Network for Time Series Forecasting |
Code
 |
IJCAI 2024 |
| Missing Variate |
METR-LA Solar Traffic ECG5000 |
SDformer |
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting |
None |
IJCAI 2024 |
| Traffic |
METR-LA PEMS-BAY PEMSD7M |
DCST |
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction |
Code
 |
IJCAI 2024 |
| Traffic |
METR-LA PEMS-BAY |
ST-nFBST |
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting |
Code
 |
IJCAI 2024 |
multisource SSL |
BikeIn BikeOut TaxiIn TaxiOut Air |
MoSSL |
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning |
Code
 |
IJCAI 2024 |
Traffic CrossCity |
METR-LA PEMS-BAY DiDiCD DiDiSZ |
pFedCTP |
Personalized Federated Learning for Cross-City Traffic Prediction |
Code
 |
IJCAI 2024 |
| Multivariat |
TimesNet |
SDformer |
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting |
Code
 |
IJCAI 2024 |
| Multivariat |
TimesNet |
SpecAR-Net |
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series |
Code
 |
IJCAI 2024 |
| Multivariat |
TimesNet |
SCAT |
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers |
None |
IJCAI 2024 |
| Traffic |
Traffic ECG COVID-19 Wiki Solar |
DIAN |
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting |
Code
 |
IJCAI 2024 |
| Traffic |
Wave Wind Air |
EPL |
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction |
Code
 |
IJCAI 2024 |
| Multivariat |
ETT Electricity Traffic Weather Exchange |
U-Mixer |
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting |
None |
AAAI 2024 |
| Irregular |
USHCN MIMIC-III MIMIC-IV Physionet-12 |
GraFITi |
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series |
Code
 |
AAAI 2024 |
Traffic Flow |
PEMS03 PEMS04 PEMS07 PEMS08 |
MultiSPANS |
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization |
Code
 |
WSDM 2024 |
| Multivariat |
SIP NYC METR-LA |
CreST |
CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting |
None |
WSDM 2024 |
| Multivariat |
Web Traffic Labour Traffic Tourism |
HTS |
NeuralReconciler for Hierarchical Time Series Forecasting |
None |
WSDM 2024 |
| Multivariat |
NYC13 BikeNYC Chicago21 Chicago22 |
CityCAN |
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting |
None |
WSDM 2024 |
| Multivariat |
Solar Wiki Traffic ECG Electricity COVID-19 Weather ETT |
FreTS |
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting |
Code
 |
NIPS 2023 |
LLM4TS Zero Shot |
Darts Monash Informer |
- |
Large Language Models Are Zero-Shot Time Series Forecasters |
LLM
 |
NIPS 2023 |
| Zero Shot |
ECL ETT Exchange ILI Traffic Weather |
ForecastPFN |
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting |
TF
 |
NIPS 2023 |
| Multivariat |
ECL Traffic ETT Weather |
WITRAN |
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting |
Code
 |
NIPS 2023 |
| Multivariat |
ETT Weather PEMS03 PEMS04 PEMS07 PEMS08 |
Neural Lad |
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling |
None |
NIPS 2023 |
| Multivariat |
ETT Weather Electricity |
OneNet |
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling |
Code
 |
NIPS 2023 |
Multivariat Solar Irradiance |
CAB TAM |
CrossViVit |
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context |
Code
 |
NIPS 2023 |
| Multivariat |
ECL ETT Exchange ILI Traffic Weather |
Koopa |
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors |
Code
 |
NIPS 2023 |
| Multivariat |
GPVAR METR-LA PEMS-BAY PEMS03 PEMS04 PEMS07 PEMS08 CER-E AQI |
TTS-IMP |
Taming Local Effects in Graph-based Spatiotemporal Forecasting |
Code
 |
NIPS 2023 |
| Multivariat |
PEMS08 AIR-BJ AIR-GZ |
CaST |
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment |
Code
 |
NIPS 2023 |
| Multivariat |
PEMS08 METR-LA NYC Taxi NYC Bike |
GPT-ST |
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks |
Code
 |
NIPS 2023 |
| Multivariat |
Solar Wiki Traffic COVID-19 |
FourierGNN |
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective |
Code
 |
NIPS 2023 |
| Multivariat |
ETT Weather Electricity Traffic |
SimMTM |
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling |
Code
 |
NIPS 2023 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
BasisFormer |
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis |
Code
 |
NIPS 2023 |
| Irregular |
Neonate Traffic MIMIC StackOverflow BookOrder Exchange ETT ILI Weather |
ContiFormer |
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling |
Code |
NIPS 2023 |
| Multivariat |
Electricity Exchange Traffic Weather ILI ETT |
SAN |
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective |
Code
 |
NIPS 2023 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
DeepTime |
Learning Deep Time-index Models for Time Series Forecasting |
Code
 |
ICML 2023 |
| Multivariat |
Crime CHI-Taxi NYC-Bike NYC-Taxi CHI-House NYC-House |
GraphST |
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation |
Code
 |
ICML 2023 |
| Multivariat |
Synthetic Taxi Electricity Traffic |
FeatureP |
Feature Programming for Multivariate Time Series Prediction |
Code
 |
ICML 2023 |
| Multivariat |
NorPool Caiso Weather ETT Wind Traffic Electricity Exchange |
TimeDiff |
Non-autoregressive Conditional Diffusion Models for Time Series Prediction |
None |
ICML 2023 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
MICN |
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting |
Code
 |
ICLR 2023 |
| Multivariat |
ETT Weather Electricity ILI Traffic |
Crossformer |
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting |
Code
 |
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
 |
ICLR 2023 |
| Multivariat |
|
Meta-SSM |
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting |
Code
 |
ICLR 2023 |
| Multivariat |
ETT Electricity Traffic Weather |
FSNet |
Learning Fast and Slow for Time Series Forecasting |
Code
 |
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
 |
ICLR 2023 |
| Multivariat |
ETT Weather Electricity Traffic Exchange |
SpaceTime |
Effectively Modeling Time Series with Simple Discrete State Spaces |
Code
 |
ICLR 2023 |
| Multivariat |
Weather Traffic Electricity ILI ETT |
PatchTST |
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers |
Code
 |
ICLR 2023 |
| Multivariat |
Exchange Weather Electricity Traffic ILI |
Scaleformer |
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting |
Code
 |
ICLR 2023 |
Multivariat classifica AnomalyDec |
Electricity Weather ETTm1 MSL SMD SMAP |
SBT |
Sparse Binary Transformers for Multivariate Time Series Modeling |
Code
 |
KDD 2023 |
| Multivariat |
SIP METR-LA KnowAir Electricity |
CauSTG |
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning |
Code
 |
KDD 2023 |
Robust Multivariat |
PEMS-BAY PEMS04 |
RDAT |
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training |
Code
 |
KDD 2023 |
| Multivariat |
Beijing Chengdu Harbin |
Frigate |
Frigate: Frugal Spatio-temporal Forecasting on Road Networks |
Code
 |
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
 |
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
 |
AAAI 2023 |
| Multivariat |
METR-LA PEMSD7M |
STC-Dropout |
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout |
Code
 |
AAAI 2023 |
| Multivariat |
BJ-Bike NYC-Bike |
STNSCM |
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction |
Code
 |
AAAI 2023 |
| Multivariat |
XC-Trans XC-Speed |
CCHMM |
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction |
Code
 |
AAAI 2023 |
| Multivariat |
NYCBike1 NYCBike2 NYCTaxi BJTaxi |
ST-SSL |
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction |
Code
 |
AAAI 2023 |
| Multivariat |
PV-US CER-En |
SGP |
Scalable Spatiotemporal Graph Neural Networks |
Code
 |
AAAI 2023 |
| Multivariat |
Electricity Solar PEMS-BAY METR-LA |
SRD |
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling |
Code
 |
AAAI 2023 |
| Multivariat |
ETT Electricity |
InfoTS |
Time Series Contrastive Learning with Information-Aware Augmentations |
Code
 |
AAAI 2023 |
| Multivariat |
PhysioNet MIMIC-III Activity Appliances Energy |
PrimeNet |
PrimeNet: Pre-training for Irregular Multivariate Time Series |
Code
 |
AAAI 2023 |
| Multivariat |
Electricity ETT Weather |
Dish-TS |
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting |
Code
 |
AAAI 2023 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
NHITS |
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting |
Code
 |
AAAI 2023 |
| Multivariat |
METR-LA ETT Weather |
MegaCRN |
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting |
Code
 |
AAAI 2023 |
| Multivariat |
Santa Traffic |
NEC+ |
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks |
Code
 |
AAAI 2023 |
| Extreme MTSF |
Electricity Solar Weather Traffic |
WaveForM |
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series |
Code
 |
AAAI 2023 |
| Multivariat |
PEMS04 PEMS07 PEMS08 NYCTaxi CHBike TDrive |
PDFormer |
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction |
Code
 |
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
 |
IJCAI 2023 |
| Multivariat |
NYC-Bike PEMS-BAY PEMS08 |
ReMo |
Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting |
Code
 |
IJCAI 2023 |
| Multivariat |
NASA |
MetePFL |
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data |
Code
 |
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
 |
WWW 2023 |
| Multivariat |
MQPS ETT Electricity |
KAE-Informer |
KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices |
Code
 |
WWW 2023 |
| Multivariat |
Typhoon-JP COVID-JP Hurricane-US |
MemeSTN |
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster |
Code
 |
WWW 2023 |
| Multivariat |
NYC Chicago |
EALGAP |
Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning |
Keras
 |
ICDE 2023 |
| Multivariat |
PEMS03 PEMS04 PEMS07 PEMS08 |
DyHSL |
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting |
Code
 |
ICDE 2023 |
| Multivariat |
PEMS03 PEMS04 PEMS07 PEMS08 |
STWave |
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks |
Code
 |
ICDE 2023 |
| Multivariat |
Seattle PEMS04 PEMS08 |
SSTBAN |
Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting |
Code
 |
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
 |
CIKM 2023 |
| Traffic |
PEMS03 PEMS04 PEMS07 PEMS08 |
TrendGCN |
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting |
Code
 |
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
 |
CIKM 2023 |
| Multivariat |
ETT Electricity Traffic |
Seq2Peak |
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting |
Code
 |
CIKM 2023 |
| Multivariat |
PEMS04 PEMS07 PEMS08 NYC Crime CHI Crime |
CL4ST |
Spatio-Temporal Meta Contrastive Learning |
Code
 |
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
 |
CIKM 2023 |
| Multivariat |
PeMS Beijing Electricity COVID-CHI |
MemDA |
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation |
Code
 |
CIKM 2023 |
Cross City Traffic |
PEMS-BAY METR-LA Chengdu Shenzhen |
TPB |
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank |
Code
 |
CIKM 2023 |
| Traffic Speed |
METR-LA PEMS-BAY PEMSD7M |
UAGCRN |
Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis |
TF
 |
CIKM 2023 |
| Multivariat |
Complaint NYC Taxi |
PromptST |
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction |
Code
 |
CIKM 2023 |
| Multivariat |
METR-LA PEMS-BAY PEMS08 |
HIEST |
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting |
Code
 |
CIKM 2023 |
| Multivariat |
ETT Electricity Weather Traffic |
TemDep |
TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction |
Code
 |
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
 |
AISTATS 2023 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
FiLM |
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting |
Code
 |
NeurIPS 2022 |
| Multivariat |
ETT Electricity Exchange Weather |
LaST |
Learning Latent Seasonal-Trend Representations for Time Series Forecasting |
Code
 |
NeurIPS 2022 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
WaveBound |
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting |
Code
 |
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
 |
NeurIPS 2022 |
| Multivariat |
Electricity ETT Exchange ILI Traffic Weather |
NonstaTransf |
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting |
Code
 |
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
 |
ICML 2022 |
| Multivariat |
ETT Electricity Exchange Traffic Weather ILI |
FEDformer |
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting |
Code
 |
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
 |
ICML 2022 |
| Multivariat |
French Electricity |
AgACI |
Adaptive Conformal Predictions for Time Series |
Python,R
 |
ICML 2022 |
| Traffic Speed |
NAVER-Seoul METR-LA |
PM-MemNet (Mem,KNN) |
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting |
Code
 |
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
 |
ICLR 2022 |
| Multivariat |
Electricity Traffic M4 CASIO NP |
DEPTS |
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting |
Code
 |
ICLR 2022 |
| Multivariat |
ETT Electricity Wind App Flow |
Pyraformer |
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting |
Code
 |
ICLR 2022 |
| Multivariat |
ETT Electricity M4 Air Quality Nasdaq |
RevIN |
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift |
Code
 |
ICLR 2022 |
| Multivariat |
METR-LA PEMS-BAY PEMS04 PEMS08 |
D2STGNN |
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting |
Code
 |
VLDB 2022 |
| Multivariat |
METR-LA PEMS-BAY PEMS04 |
STEP |
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting |
Code
 |
KDD 2022 |
| Multivariat |
Solar Electricity Exchange Wind NYCBike NYCTaxi |
ESG |
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting |
Code
 |
KDD 2022 |
| Multivariat |
METR-LA Solar Traffic ECG5000 |
VSF |
Multi-Variate Time Series Forecasting on Variable Subsets |
Code,dgl
 |
KDD 2022 |
| Multivariat |
DC Bike DC Taxi |
CrossTReS |
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting |
Code,dgl
 |
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
 |
KDD 2022 |
| Multivariat |
Hangzhou NYC |
DTIGNN |
Modeling Network-level Traffic Flow Transitions on Sparse Data |
Code
 |
KDD 2022 |
| Multivariat |
Temperature Cloud cover Humidity Wind |
CLCRN |
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting |
Code
 |
AAAI 2022 |
| Traffic Flow |
PEMS03 PEMS04 PEMS07 PEMS08 PEMS07(M) PEMS07(L) |
STG-NCDE |
Graph Neural Controlled Differential Equations for Traffic Forecasting |
Code
 |
AAAI 2022 |
| Traffic Flow |
GT-221 WRS-393 ZGC-564 |
STDEN |
STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction |
Code
 |
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
 |
AAAI 2022 |
| Multivariat |
ETT Electricity Weather |
Triformer |
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version |
Code
 |
IJCAI 2022 |
| Multivariat |
PEMS03 PEMS04 PEMS07 PEMS08 |
FOGS |
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting |
Code
 |
IJCAI 2022 |
| Multivariat |
PEMS04 PEMS08 RPCM |
RGSL |
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting |
Code
 |
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
 |
IJCAI 2022 |
| Multivariat |
GoogleSymp Covid19 Power Tweet |
CAMul |
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting |
Code
 |
WWW 2022 |
| Multivariat |
Electricity Stock |
MRLF |
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction |
Code
 |
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
 |
WWW 2022 |
| Traffic Flow |
PEMS03 PEMS04 PEMS07 PEMS08 |
ST-WA |
Towards Spatio- Temporal Aware Traffic Time Series Forecasting |
Code
 |
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
 |
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
 |
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
 |
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
 |
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
 |
ICDM 2022 |
| Multivariat |
M4 Electricity car-parts |
TopAttn |
Topological Attention for Time Series Forecasting |
Code
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
 |
NeurIPS 2021 |
| Multivariat |
PEMS04 PEMS08 Traffic ADI M4 ,etc |
Error |
Adjusting for Autocorrelated Errors in Neural Networks for Time Series |
Code
 |
NeurIPS 2021 |
| Multivariat |
Bytom Decentraland PEMS04 PEMS08 |
Z-GCNETs |
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting |
Code
 |
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
 |
ICLR 2021 |
| Multivariat |
Benz Air Quality FuelMoisture |
framework |
A Transformer-based Framework for Multivariate Time Series Representation Learning |
Code
 |
KDD 2021 |
| Federated Multivariat |
PEMS-BAY METR-LA |
CNFGNN |
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling |
Code
 |
KDD 2021 |
| Traffic Speed |
PEMS04 PEMS08 England |
DMSTGCN |
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting |
Code
 |
KDD 2021 |
| Traffic Flow |
PEMS07(M) PEMS07(L) PEMS03 PEMS04 PEMS07 PEMS08 |
STGODE |
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting |
Code
 |
KDD 2021 |
| Multivariat |
BikeNYC PEMS07(M) Electricity |
ST-Norm |
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting |
Code
 |
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
 |
AAAI 2021 |
| Multivariat |
Guangzhou Seattle HZMetro , etc. |
DSARF |
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting |
Code
 |
AAAI 2021 |
| Traffic Speed |
METR-LA PEMS-BAY |
FC-GAGA |
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting |
TF
 |
AAAI 2021 |
| Traffic Speed |
DiDiJiNan DiDiXiAn |
HGCN |
Hierarchical Graph Convolution Network for Traffic Forecasting |
Code
 |
AAAI 2021 |
| Multivariat |
ETT Weather Electricity |
Informer |
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting |
Code
 |
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
 |
AAAI 2021 |
| Multivariat |
BJ Taxi NYC Taxi NYC Bike1 NYC Bike2 |
STGDN |
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network |
Mxnet
 |
AAAI 2021 |
| Traffic Flow |
SG-TAXI |
TrGNN |
Traffic Flow Prediction with Vehicle Trajectories |
Code
 |
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
 |
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
 |
WWW 2021 |
| Multivariat |
VevoMusic WikiTraffic LOS-LOOP SZ-taxi |
Radflow |
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series |
Code
 |
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
 |
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
 |
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
Future |
CIKM 2021 |
| Traffic Speed |
METR-LA PEMS-BAY Simulated |
STNN |
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting |
Code
 |
ICDM 2021 |
| Traffic Speed |
DiDiCD DiDiXiAn |
T-wave |
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting |
Code
 |
ICDM 2021 |
| Multivariat |
Sanyo Hanergy Solar Electricity Exchange |
SSDNet |
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting |
Code
 |
ICDM 2021 |
| Traffic Volumn |
HangZhou City JiNan City |
CTVI |
Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference |
Code
 |
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
 |
NeurIPS 2020 |
| Multivariat |
Electricity Traffic Wind Solar M4-Hourly |
AST |
Adversarial Sparse Transformer for Time Series Forecasting |
Code
 |
NeurIPS 2020 |
| Multivariat |
METR-LA PEMS-BAY PEMS07 PEMS03 PEMS04 ,etc |
StemGNN |
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting |
Code
 |
NeurIPS 2020 |
| Multivariat |
M4 M3 Tourism |
N-BEATS |
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting |
Code+Keras
 |
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
 |
KDD 2020 |
| Traffic Flow |
Taxi-NYC Bike-NYC CTM |
DSAN |
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction |
TF
 |
KDD 2020 |
Traffic Speed Traffic Flow |
Shenzhen |
Curb-GAN |
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks |
Code
 |
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
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
Code
 |
AAAI 2020 |
| Multivariat |
Traffic Energy NASDAQ |
MLCNN |
Towards Better Forecasting by Fusing Near and Distant Future Visions |
Code
 |
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
 |
AAAI 2020 |
| Multivariat |
MovingMNIST TaxiBJ KTH |
SA-ConvLSTM |
Self-Attention ConvLSTM for Spatiotemporal Prediction |
TF
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
 |
AAAI 2020 |
| Multivariat |
Traffic Exchange Solar |
DeepTrends |
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series |
TF
 |
AAAI 2020 |
| Multivariat |
Traffic Electricity SmokeVideo PCSales RawMaterials |
BHT |
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting |
Python
 |
AAAI 2020 |
| Traffic Speed |
PEMS04 PEMS07 PEMS08 |
LSGCN |
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks |
TF
 |
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
 |
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
 |
WWW 2020 |
| Traffic Speed |
DiDiCD |
STAG-GCN |
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting |
Code
 |
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
 |
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
 |
CIKM 2020 |
| Traffic Flow |
NYCBike NYCTaxi |
MT-ASTN |
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction |
Code
 |
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
 |
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
 |
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
 |
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
 |
NeurIPS 2019 |
| Multivariat |
Electricity Traffic Solar M4 Wind |
LogSparse |
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting |
Code
 |
NeurIPS 2019 |
| Multivariat |
Synthetic ECG5000 Traffic |
DILATE |
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models |
Code
 |
NeurIPS 2019 |
| Traffic Flow |
Earthquake |
DeepUrbanEvent |
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events |
Keras
 |
KDD 2019 |
Traffic Flow Speed |
TDrive METR-LA |
ST-MetaNet |
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning |
Mxnet
 |
KDD 2019 |
| Multivariat |
Rossman Walmart Electricity Traffic Parts |
ARU |
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units |
TF
 |
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
 |
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
 |
AAAI 2019 |
| Traffic Flow |
MobileBJ BikeNYC |
DeepSTN+ |
DeepSTN+: context-aware spatial-temporal neural network for crowd flow prediction in metropolis |
TF
 |
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
 |
IJCAI 2019 |
| Traffic Speed |
METR-LA PEMS-BAY |
GWN |
Graph WaveNet for Deep Spatial-Temporal Graph Modeling |
Code
 |
IJCAI 2019 |
| Traffic Flow |
DidiSY BikeNYC TaxiBJ |
STG2Seq |
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting |
TF
 |
IJCAI 2019 |
| Multivariat |
GHL Electricity TEP |
DyAt |
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems |
Code
 |
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
 |
WWW 2019 |
TrafficPred imputation |
GZSpeed HZMetro Seattle London |
BTF |
Bayesian Temporal Factorization for Multidimensional Time Series Prediction |
Python
 |
TPAMI 2019 |
| Multivariat |
Gas Station |
DSANet |
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting |
Code
 |
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
 |
ICDM 2019 |
| Traffic Speed |
BJER4 PEMS07(M) PEMS07(L) |
STGCN |
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting |
TF
Mxnet Code1
Code2 Code3
 |
IJCAI 2018 |
| Traffic Speed |
METR-LA PEMS-BAY |
DCRNN |
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting |
TF
Code |
ICLR 2018 |