| Paper Nums:100+ | 
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| Multivariable | 
PEMS03   PEMS04    PEMS07    PEMS08 | 
DSTAGNN | 
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting | 
Pytorch | 
ICML 2022 | 
| Multivariable | 
ETT   Electricity    Exchange    Traffic   Weather   ILI | 
FEDformer   (EncDec,  EnhancedFeature) | 
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting | 
Pytorch | 
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 | 
Future? | 
ICML 2022 | 
| Multivariable | 
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 | 
Pytorch | 
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 | 
ICLR 2022 | 
| Multivariable | 
Electricity   Traffic   M4   CASIO   NP | 
DEPTS | 
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | 
Pytorch | 
ICLR 2022 | 
| Multivariable | 
ETT   Electricity   Wind   App Flow | 
Pyraformer | 
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting | 
Pytorch | 
ICLR 2022 | 
| Multivariable | 
ETT   ECL    M4   Air Quality   Nasdaq | 
RevIN | 
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift | 
Pytorch | 
ICLR 2022 | 
| Multivariable | 
METR-LA    PeMS-BAY     PEMS04 | 
STEP | 
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting | 
Pytorch | 
KDD 2022 | 
| Multivariable | 
Solar    Electricity     Exchange     Wind    NYCBike    NYCTaxi | 
ESG | 
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting | 
Pytorch | 
KDD 2022 | 
| Multivariable | 
METR-LA    Solar     Traffic   ECG5000 | 
VSF | 
Multi-Variate Time Series Forecasting on Variable Subsets | 
Pytorch,dgl | 
KDD 2022 | 
| Multivariable | 
DC Bike    DC Taxi | 
CrossTReS | 
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting | 
Pytorch,dgl | 
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 | 
KDD 2022 | 
| Multivariable | 
Hangzhou    NYC | 
DTIGNN | 
Modeling Network-level Traffic Flow Transitions on Sparse Data | 
Pytorch | 
KDD 2022 | 
| Multivariable | 
Temperature   Cloud cover    Humidity   Wind | 
CLCRN | 
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting | 
Pytorch | 
AAAI 2022 | 
| Traffic Flow | 
PeMSD3   PeMSD4   PeMSD7   PeMSD8   PeMSD7(M)   PeMSD7(L) | 
STG-NCDE | 
Graph Neural Controlled Differential Equations for Traffic Forecasting | 
Pytorch | 
AAAI 2022 | 
| Traffic Flow | 
GT-221   WRS-393   ZGC-564 | 
STDEN | 
STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction | 
Pytorch | 
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 | 
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 | 
IJCAI 2022 | 
| Multivariable | 
PeMSD4   PeMSD8    RPCM    PeMSD4 | 
RGSL | 
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting | 
Pytorch | 
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 | 
IJCAI 2022 | 
| Multivariable | 
GoogleSymptoms    Covid19    Power   Tweet | 
CAMul | 
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting | 
Pytorch | 
WWW 2022 | 
| Multivariable | 
Electricity   Stock | 
MRLF | 
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction | 
Pytorch | 
WWW 2022 | 
Multivariable   Classification   Forecasting | 
MuJoCo    Google Stock | 
EXIT | 
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting | 
None | 
WWW 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 | 
WSDM 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 | 
NeurIPS 2021 | 
| Multivariable | 
PeMSD4   PeMSD8   Traffic   ADI   M4 ,etc | 
Error | 
Adjusting for Autocorrelated Errors in Neural Networks for Time Series | 
Pytorch | 
NeurIPS 2021 | 
| Multivariable | 
Bytom   Decentraland    PeMSD4   PeMSD8 | 
Z-GCNETs | 
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting | 
Pytorch | 
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 | 
KDD 2021 | 
| Federated Multivariable | 
PeMS-BAY    METR-LA | 
CNFGNN | 
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling | 
Pytorch | 
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 | 
KDD 2021 | 
| Multivariable | 
BikeNYC    PeMSD7(M)   Electricity | 
ST-Norm | 
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting | 
Pytorch | 
KDD 2021 | 
| Multivariable | 
DiDiXM    DiDiCD | 
TrajNet | 
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction | 
None | 
KDD 2021 | 
| Multivariable | 
Guangzhou   Seattle   HZMetro , etc. | 
DSARF | 
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting | 
None | 
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 | 
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 | 
None | 
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 | 
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 | 
Adversarial Sparse Transformer for 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 Flow | 
NYC-Taxi    NYC-Bike | 
STDN | 
Revisiting spatial-temporal similarity: a deep learning framework for traffic prediction | 
Keras | 
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 |