交通流预测

2014

1. FC-LSTM
   • NeurIPS-14
   • Sequence to Sequence Learning with Neural Networks
   • https://github.com/farizrahman4u/seq2seq (opens in a new tab)

2018

2. DCRNN
   • ICLR-18
   • Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
   • https://github.com/liyaguang/DCRNN (opens in a new tab) (TF 1.x)
3. STGCN
   • IJCAI-18
   • Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
   • https://github.com/hazdzz/STGCN (opens in a new tab)
4. BaiduTraffic
   • KDD-18
   • Deep Sequence Learning with Auxiliary Information for Traffic Prediction
   • https://github.com/JingqingZ/BaiduTraffic (opens in a new tab)

2019

5. ASTGCN
   • AAAI-19
   • Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
   • https://github.com/guoshnBJTU/ASTGCN-r-pytorch (opens in a new tab)
6. TGC-LSTM
   • T-ITS-19
   • Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
   • https://github.com/zhiyongc/Graph_Convolutional_LSTM (opens in a new tab)
7. Graph WaveNet
   • IJCAI-19
   • Graph WaveNet for Deep Spatial-Temporal Graph Modeling
   • https://github.com/nnzhan/Graph-WaveNet (opens in a new tab)
   • arXiv-19
   • Incrementally Improving Graph WaveNet Performance on Traffic Prediction
   • https://github.com/sshleifer/Graph-WaveNet (opens in a new tab)

2020

8. GMAN
   • AAAI-20
   • GMAN: A Graph Multi-Attention Network for Traffic Prediction
   • https://github.com/zhengchuanpan/GMAN (opens in a new tab)
9. STSGCN
   • AAAI-20
   • Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
   • https://github.com/Davidham3/STSGCN (opens in a new tab)
10. MTGNN
    • KDD-20
    • Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
    • https://github.com/nnzhan/MTGNN (opens in a new tab)
11. AGCRN
    • NeurIPS-20
    • Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
    • https://github.com/LeiBAI/AGCRN (opens in a new tab)

2021

12. STBayesian
    • arXiv-21
    • Traffic signal prediction on transportation networks using spatio-temporal correlations on graphs
    • https://github.com/semink/LargeScale-DLM (opens in a new tab)
13. STAWnet
    • T-ITS-21
    • Spatial‐temporal attention wavenet: A deep learning framework for traffic prediction considering spatial‐temporal dependencies
    • https://github.com/CYBruce/STAWnet (opens in a new tab)
14. GWNET-Cov
    • ICML-21
    • Conditional Temporal Neural Processes with Covariance Loss
    • https://github.com/boseon-ai/Conditional-Temporal-Neural-Processes-with-Covariance-Loss (opens in a new tab)
15. STFGNN
    • AAAI-21
    • Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
    • https://github.com/MengzhangLI/STFGNN (opens in a new tab)
16. STGODE
    • KDD-21
    • Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
    • https://github.com/square-coder/STGODE (opens in a new tab)

2022

17. ADN
    • arXiv-22
    • Structured Time Series Prediction without Structural Prior
    • https://github.com/radandreicristian/adn (opens in a new tab)
18. CorrSTN
    • arXiv-22
    • A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
    • https://github.com/drownfish19/corrstn (opens in a new tab)
19. STEP
    • KDD-22
    • Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
    • https://github.com/zezhishao/step (opens in a new tab)
20. D2STGNN
    • VLDB-22
    • Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
    • https://github.com/zezhishao/d2stgnn (opens in a new tab)
21. STG-NCDE
    • AAAI-22
    • Graph Neural Controlled Differential Equations for Traffic Forecasting
    • https://github.com/jeongwhanchoi/STG-NCDE (opens in a new tab)
22. SCINet
    • NeurIPS-22
    • SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
    • https://github.com/cure-lab/SCINet (opens in a new tab)

2023

23. PDFormer
    • AAAI-23
    • PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
    • https://github.com/BUAABIGSCity/PDFormer (opens in a new tab)
24. MegaCRN
    • AAAI-23
    • Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
    • https://github.com/deepkashiwa20/megacrn (opens in a new tab)
25. ST-SSL
    • AAAI-23
    • Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
    • https://github.com/echo-ji/st-ssl (opens in a new tab)
26. LightCTS
    • arXiv-23
    • LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
    • https://github.com/ai4cts/lightcts (opens in a new tab)