Paper Nums:100+ |
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Multivariable |
ETT Electricity Exchange Traffic Weather ILI |
MICN |
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting |
Pytorch
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ICLR 2023 |
Multivariable |
ETT Weather Electricity ILI Traffic |
Crossformer |
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting |
Pytorch
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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 |
Pytorch
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ICLR 2023 |
Multivariable |
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Meta-SSM |
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting |
Pytorch
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ICLR 2023 |
Multivariable |
ETT Electricity Traffic Weather |
FSNet |
Learning Fast and Slow for Time Series Forecasting |
Pytorch
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ICLR 2023 |
Robust Multivariable |
Traffic Taxi Wiki Electricity |
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Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms |
Amazon |
ICLR 2023 |
Multivariable |
Electricity Crypto M4 Traffic Exchange |
KNF |
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts |
Pytorch
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ICLR 2023 |
Multivariable |
ETT Weather Electricity Traffic Exchange |
SpaceTime |
Effectively Modeling Time Series with Simple Discrete State Spaces |
Pytorch
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ICLR 2023 |
Multivariable |
Weather Traffic Electricity ILI ETT |
PatchTST |
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers |
Pytorch
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ICLR 2023 |
Multivariable |
Exchange Weather Electricity Traffic ILI |
MSA |
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting |
Pytorch
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ICLR 2023 |
Multivariable |
METR-LA PeMS-BAY |
Trafformer |
Trafformer: Unify Time and Space in Traffic Prediction |
None |
AAAI 2023 |
Multivariable |
ETT Traffic Solar Electricity Exchange PEMS03 PEMS04 PEMS07 PEMS08 |
SCINet |
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction |
Pytorch
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NeurIPS 2022 |
Multivariable |
ETT Electricity Exchange Traffic Weather ILI |
FiLM |
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting |
Pytorch
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NeurIPS 2022 |
Multivariable |
ETT Electricity Exchange Weather |
LaST |
Learning Latent Seasonal-Trend Representations for Time Series Forecasting |
Pytorch
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NeurIPS 2022 |
Multivariable |
ETT Electricity Exchange Traffic Weather ILI |
WaveBound |
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting |
Pytorch
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NeurIPS 2022 |
Multivariable |
COVID-19 PeMSD4 PeMSD8 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 |
Multivariable |
Electricity ETT Exchange ILI Traffic Weather |
NonstaTransformer |
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting |
Pytorch
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NeurIPS 2022 |
Multivariable |
Traffic Solar Electricity Exchange PeMSD7(M) PeMS-BAY |
TPGNN |
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks |
Future |
NeurIPS 2022 |
Multivariable |
PEMS03 PEMS04 PEMS07 PEMS08 |
DSTAGNN |
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting |
Pytorch
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ICML 2022 |
Multivariable |
ETT Electricity Exchange Traffic Weather ILI |
FEDformer (EncDec, EnhancedFeature) |
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting |
Pytorch
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ICML 2022 |
Multivariable |
Traffic Electricity Wiki Sales |
DAF |
DAF-Domain Adaptation for Time Series Forecasting via Attention Sharing |
None |
ICML 2022 |
Multivariable |
Electricity Solar Fred MD KDD Cup |
TACTiS (Copulas, Trans) |
TACTiS: Transformer-Attentional Copulas for Time Series |
Pytorch
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ICML 2022 |
Multivariable |
French Electricity |
AgACI |
Adaptive Conformal Predictions for Time Series |
Python,R
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ICML 2022 |
Traffic Speed |
NAVER-Seoul METR-LA |
PM-MemNet (Mem,KNN) |
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting |
Pytorch
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ICLR 2022 |
Multivariable |
PeMSD3 PeMSD4 PeMSD8 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 |
Pytorch |
ICLR 2022 |
Multivariable |
ETT Electricity Weather |
CoST |
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting |
Pytorch
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ICLR 2022 |
Multivariable |
Electricity Traffic M4 CASIO NP |
DEPTS |
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting |
Pytorch
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ICLR 2022 |
Multivariable |
ETT Electricity Wind App Flow |
Pyraformer |
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting |
Pytorch
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ICLR 2022 |
Multivariable |
ETT ECL M4 Air Quality Nasdaq |
RevIN |
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift |
Pytorch
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ICLR 2022 |
Multivariable |
METR-LA PeMS-BAY PEMS04 PEMS08 |
D2STGNN |
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting |
Pytorch
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VLDB 2022 |
Multivariable |
METR-LA PeMS-BAY PEMS04 |
STEP |
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting |
Pytorch
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KDD 2022 |
Multivariable |
Solar Electricity Exchange Wind NYCBike NYCTaxi |
ESG |
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting |
Pytorch
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KDD 2022 |
Multivariable |
METR-LA Solar Traffic ECG5000 |
VSF |
Multi-Variate Time Series Forecasting on Variable Subsets |
Pytorch,dgl
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KDD 2022 |
Multivariable |
DC Bike DC Taxi |
CrossTReS |
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting |
Pytorch,dgl
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KDD 2022 |
Multivariable |
ETT Weather Exchange Traffic Electricity |
Quatformer |
Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting |
MRA-BGCN Author None Code |
KDD 2022 |
Multivariable |
NYCBike NYCTaxi PEMS03 PEMS08 |
GMSDR |
MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting |
Pytorch
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KDD 2022 |
Multivariable |
Hangzhou NYC |
DTIGNN |
Modeling Network-level Traffic Flow Transitions on Sparse Data |
Pytorch
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KDD 2022 |
Multivariable |
Temperature Cloud cover Humidity Wind |
CLCRN |
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting |
Pytorch
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AAAI 2022 |
Traffic Flow |
PeMSD3 PeMSD4 PeMSD7 PeMSD8 PeMSD7(M) PeMSD7(L) |
STG-NCDE |
Graph Neural Controlled Differential Equations for Traffic Forecasting |
Pytorch
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AAAI 2022 |
Traffic Flow |
GT-221 WRS-393 ZGC-564 |
STDEN |
STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction |
Pytorch
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AAAI 2022 |
Multivariable |
Electricity Traffic PeMSD7(M) METR-LA |
CATN |
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting |
None |
AAAI 2022 |
Multivariable |
ETT Electricity |
TS2Vec |
TS2Vec: Towards Universal Representation of Time Series |
Pytorch
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AAAI 2022 |
Multivariable |
ETT ECL Weather |
Triformer |
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version |
Future |
IJCAI 2022 |
Multivariable |
PEMS03 PEMS04 PEMS07 PEMS08 |
FOGS |
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting |
Pytorch
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IJCAI 2022 |
Multivariable |
PeMSD4 PeMSD8 RPCM PeMSD4 |
RGSL |
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting |
Pytorch
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IJCAI 2022 |
Multivariable |
Air Quality Parking |
DMGA |
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention |
None |
IJCAI 2022 |
Multivariable |
YellowCab GreenCab Solar |
ST-KMRN |
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data |
Author |
IJCAI 2022 |
Multivariable |
NYCTaxi NYCBike CHIBike BJTaxi Chengdu |
STAN |
When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters |
None |
IJCAI 2022 |
Multivariable |
Hurricanes Ausgrid Weather |
DeepExtrema |
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data |
Pytorch
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IJCAI 2022 |
Multivariable |
GoogleSymptoms Covid19 Power Tweet |
CAMul |
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting |
Pytorch
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WWW 2022 |
Multivariable |
Electricity Stock |
MRLF |
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction |
Pytorch
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WWW 2022 |
Multivariable Classification Forecasting |
MuJoCo Google Stock |
EXIT |
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting |
Pytorch
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WWW 2022 |
Traffic Flow |
PEMS03 PEMS04 PEMS07 PEMS08 |
ST-WA |
Towards Spatio- Temporal Aware Traffic Time Series Forecasting |
Pytorch
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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 |
Pytorch
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WSDM 2022 |
Multivariable |
Traffic Temperature |
ReTime |
Retrieval Based Time Series Forecasting |
None |
CIKM 2022 |
Multivariable |
Rainfall Traffic ETT Stock Climate |
DXtreMM |
Deep Extreme Mixture Model for Time Series Forecasting |
Pytorch
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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 |
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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 |
Pytorch
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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 |
Multivariable |
ETT Electricity WTH Weather ILI Exchange |
Linear |
Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? |
None |
CIKM 2022 |
Multivariable |
Solar Traffic Electricity Exchange |
MAGL |
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting |
None |
CIKM 2022 |
Multivariable |
PEMS04 PEMS07 PEMS08 PeMS-BAY Electricity |
STID |
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting |
Pytorch
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CIKM 2022 |
Multivariable |
METR-LA PeMS-BAY PeMSD4 PeMSD7 |
ASTTN |
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting |
None |
CIKM 2022 |
Multivariable |
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 |
Pytorch
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ICDM 2022 |
Multivariable |
M4 Electricity car-parts |
TopAttn |
Topological Attention for Time Series Forecasting |
Pytorch Future |
NeurIPS 2021 |
Multivariable |
Rossmann M5 Wiki |
MisSeq |
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data |
None |
NeurIPS 2021 |
Multivariable |
ETT Electricity Exchange Traffic Weather ILI |
Autoformer |
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting |
Pytorch
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NeurIPS 2021 |
Multivariable |
PeMSD4 PeMSD8 Traffic ADI M4 ,etc |
Error |
Adjusting for Autocorrelated Errors in Neural Networks for Time Series |
Pytorch
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NeurIPS 2021 |
Multivariable |
Bytom Decentraland PeMSD4 PeMSD8 |
Z-GCNETs |
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting |
Pytorch
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ICML 2021 |
Multivariable |
PeMSD7(M) METR-LA PeMS-BAY |
Cov |
Conditional Temporal Neural Processes with Covariance Loss |
None |
ICML 2021 |
Multivariable |
METR-LA PeMS-BAY PMU |
GTS |
Discrete Graph Structure Learning for Forecasting Multiple Time Series |
Pytorch
|
ICLR 2021 |
Multivariable |
Benz Air Quality FuelMoisture |
framework |
A Transformer-based Framework for Multivariate Time Series Representation Learning |
Pytorch
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KDD 2021 |
Federated Multivariable |
PeMS-BAY METR-LA |
CNFGNN |
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling |
Pytorch
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KDD 2021 |
Traffic Speed |
PeMSD4 PeMSD8 England |
DMSTGCN |
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting |
Pytorch
|
KDD 2021 |
Traffic Flow |
PeMSD7(M) PeMSD7(L) PeMS03 PeMS04 PeMS07 PeMS08 |
STGODE |
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting |
Pytorch
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KDD 2021 |
Multivariable |
BikeNYC PeMSD7(M) Electricity |
ST-Norm |
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting |
Pytorch
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KDD 2021 |
Multivariable |
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 |
Pytorch
|
AAAI 2021 |
Multivariable |
Guangzhou Seattle HZMetro , etc. |
DSARF |
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting |
Pytorch
|
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 |
Pytorch
|
AAAI 2021 |
Multivariable |
ETT Weather ECL |
Informer |
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting |
Pytorch
|
AAAI 2021 |
Traffic Flow |
NYCMetro NYC Bike NYC Taxi |
MOTHER |
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction |
None |
AAAI 2021 |
Multivariable |
METR-LA PeMS-BAY PeMSD7(M) PeMSD7(L) PeMS03 PeMS04 PeMS07 PeMS08 |
STFGNN |
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting |
Mxnet
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AAAI 2021 |
Multivariable |
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 |
Pytorch
|
AAAI 2021 |
Multivariable |
Road POIs SIGtraf |
DMLM |
Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach |
Future |
IJCAI 2021 |
Multivariable |
East Bay METR-LA US |
D-DA-GRNN |
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting |
Pytorch
|
ICDE 2021 |
Multivariable |
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 |
Multivariable |
Motes Soil Revenue Traffic 20CR |
NET |
Network of Tensor Time Series |
Pytorch
|
WWW 2021 |
Multivariable |
VevoMusic WikiTraffic LOS-LOOP SZ-taxi |
Radflow |
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series |
Pytorch
|
WWW 2021 |
Multivariable |
METR-LA Wiki-EN |
REST |
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions |
None |
WWW 2021 |
Multivariable |
PeMS03 PeMS04 PeMS07 PeMS08 HZMetro |
ASTGNN |
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting |
Pytorch
|
TKDE 2021 |
Multivariable |
TaxiBJ BikeNYC-I BikeNYC-II TaxiNYC METR-LA PeMS-BAY PeMSD7(M) |
DL-Traff |
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction |
Graph:PyTorch Grid:TF
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CIKM 2021 |
Multivariable |
METR-LA PeMS-BAY PeMSD7(M) |
TorchGeoTem |
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models |
PyTorch |
CIKM 2021 |
Traffic Flow |
TaxiBJ BikeNYC |
LLF |
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction |
None |
CIKM 2021 |
Multivariable |
ETT Electricity |
HI |
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting |
None |
CIKM 2021 |
Multivariable |
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 |
Pytorch Future |
CIKM 2021 |
Traffic Speed |
METR-LA PeMS-BAY Simulated |
STNN |
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting |
Pytorch
|
ICDM 2021 |
Traffic Speed |
DiDiCD DiDiXiAn |
T-wave |
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting |
Pytorch
|
ICDM 2021 |
Multivariable |
Sanyo Hanergy Solar Electricity Exchange |
SSDNet |
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting |
Pytorch
|
ICDM 2021 |
Traffic Volumn |
HangZhou City JiNan City |
CTVI |
Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference |
Pytorch
|
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 |
Multivariable |
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 |
PeMSD4 PeMSD8 |
AGCRN |
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting |
Pytorch
|
NeurIPS 2020 |
Multivariable |
Electricity Traffic Wind Solar M4-Hourly |
AST |
Adversarial Sparse Transformer for Time Series Forecasting |
Pytorch
|
NeurIPS 2020 |
Multivariable |
METR-LA PeMS-BAY PeMS07 PeMS03 PeMS04 ,etc |
StemGNN |
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting |
Pytorch
|
NeurIPS 2020 |
Multivariable |
M4 M3 Tourism |
N-BEATS |
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting |
Pytorch+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 |
Pytorch
|
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 |
Pytorch
|
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 |
Multivariable |
Xiamen PeMS-BAY |
GMAN |
GMAN: A Graph Multi-Attention Network for Traffic Prediction |
TF Pytorch |
AAAI 2020 |
Multivariable |
PeMS03 PeMS04 PeMS07 PeMS08 |
STSGCN |
Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting |
Mxnet Pytorch
|
AAAI 2020 |
Multivariable |
Traffic Energy NASDAQ |
MLCNN |
Towards Better Forecasting by Fusing Near and Distant Future Visions |
Pytorch
|
AAAI 2020 |
Multivariable |
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 |
Multivariable |
MovingMNIST TaxiBJ KTH |
SA-ConvLSTM |
Self-Attention ConvLSTM for Spatiotemporal Prediction |
TF PyTorch |
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 |
Pytorch
|
AAAI 2020 |
Multivariable |
Traffic Exchange Solar |
DeepTrends |
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series |
TF
|
AAAI 2020 |
Multivariable |
Traffic Electricity SmokeVideo PCSales RawMaterials |
BHT |
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting |
Python
|
AAAI 2020 |
Traffic Speed |
PeMSD4 PeMSD7 PeMSD8 |
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 |
Multivariable |
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 |
Pytorch
|
WWW 2020 |
Traffic Speed |
DiDiCD |
STAG-GCN |
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting |
Pytorch
|
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 |
Pytorch
|
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 |
Pytorch
|
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 |
Multivariable |
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 |
PEMSD3 PEMSD7 |
TSSRGCN |
Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting |
None |
ICDM 2020 |
Multivariable |
Air Quality DarkSky Geographic |
DeepLATTE |
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction |
Pytorch
|
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 |
Pytorch
|
ICDM 2020 |
Multivariable |
Electricity Traffic Wiki PeMSD7(M) |
DeepGLO |
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting |
Pytorch
|
NeurIPS 2019 |
Multivariable |
Electricity Traffic Solar M4 Wind |
LogSparse |
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting |
Pytorch
|
NeurIPS 2019 |
Multivariable |
Synthetic ECG5000 Traffic |
DILATE |
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models |
Pytorch
|
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 |
Multivariable |
Rossman Walmart Electricity Traffic Parts |
ARU |
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units |
TF
|
KDD 2019 |
Multivariable |
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 |
Multivariable under event |
Climate Stock Pseudo |
EVL |
Modeling Extreme Events in Time Series Prediction |
None |
KDD 2019 |
Traffic Flow |
PeMSD4 PeMSD8 METR-LA |
ASTGCN |
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting |
Mxnet
|
AAAI 2019 |
Traffic Flow Speed |
NYC PeMSD(M) |
DGCNN |
Dynamic spatial-temporal graph convolutional neural networks for traffic forecasting |
None |
AAAI 2019 |
Traffic Speed |
METR-LA PeMS-BAY |
Res-RGNN |
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction |
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 |
Pytorch
|
IJCAI 2019 |
Traffic Speed |
METR-LA PeMS-BAY |
GWN |
Graph WaveNet for Deep Spatial-Temporal Graph Modeling |
Pytorch
|
IJCAI 2019 |
Traffic Flow |
DidiSY BikeNYC TaxiBJ |
STG2Seq |
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting |
TF
|
IJCAI 2019 |
Multivariable |
GHL Electricity TEP |
DyAt |
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems |
Pytorch
|
IJCAI 2019 |
Multivariable |
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 |
Multivariable |
Gas Station |
DSANet |
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting |
Pytorch
|
CIKM 2019 |
Multivariable |
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 |
Multivariable |
Photovoltaic |
MTEX-CNN |
MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks |
Pytorch
|
ICDM 2019 |
Traffic Speed |
BJER4 PeMSD7(M) PeMSD7(L) |
STGCN |
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting |
TF Mxnet Pytorch1 Pytorch2 Pytorch3
|
IJCAI 2018 |
Traffic Speed |
METR-LA PeMS-BAY |
DCRNN |
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting |
TF Pytorch |
ICLR 2018 |