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As a core technology of Intelligent Transportation System, traffic flow prediction has a wide range of applications.
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Wang, J.; Gu, Q.; Wu, J.; Liu, G.; and Xiong, Z. 2016 · 2016
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Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Li, Y.; Yu, R.; Shahabi, C.; and Liu, Y. 2018 · 2018
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Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
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Yu, B.; Yin, H.; and Zhu, Z. 2018 · 2018
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Guo, S.; Lin, Y.; Feng, N.; Song, C.; and Wan, H. 2019 · 2019
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Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Bai, L.; Yao, L.; Li, C.; Wang, X.; and Wang, C. 2020 · 2020
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Learning dynamic and hierarchical traffic spatiotemporal features with Transformer
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Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Ye, J.; Sun, L.; Du, B.; Fu, Y.; and Xiong, H. 2021 · 2021
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Chen, W.; Chen, L.; Xie, Y.; Cao, W.; Gao, Y.; and Feng, X. 2020 · 2020
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Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields
Ji, J.; Wang, J.; Jiang, Z.; Ma, J.; and Zhang, H. 2020 · 2020
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Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Song, C.; Lin, Y.; Guo, S.; and Wan, H. 2020 · 2020
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Traffic Flow Prediction via Spatial Temporal Graph Neural Network
Wang, X.; Ma, Y.; Wang, Y.; Jin, W.; Wang, X.; Tang, J.; Jia, C.; and Yu, J. 2020 · 2020
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Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Wu, Z.; Pan, S.; Long, G.; Jiang, J.; Chang, X.; and Zhang, C. 2020 · 2020
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GMAN: A Graph Multi-Attention Network for Traffic Prediction
Zheng, C.; Fan, X.; Wang, C.; and Qi, J. 2020 · 2020
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Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Fang, Z.; Long, Q.; Song, G.; and Xie, K. 2021 · 2021
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Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Zhang, X.; Huang, C.; Xu, Y.; Xia, L.; Dai, P.; Bo, L.; Zhang, J.; and Zheng, Y. 2021 · 2021
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Graph Neural Controlled Differential Equations for Traffic Forecasting
Choi, J.; Choi, H.; Hwang, J.; and Park, N. 2022 · 2022
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Ji, J.; Wang, J.; Jiang, Z.; Jiang, J.; and Zhang, H. 2022 · 2022
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Jiang, J.; Han, C.; and Wang, J. 2023 · 2022
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MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting
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Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling
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A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges
Tedjopurnomo, D. A.; Bao, Z.; Zheng, B.; Choudhury, F. M.; and Qin, A. K. 2022 · 2022
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Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction
Ye, X.; Fang, S.; Sun, F.; Zhang, C.; and Xiang, S. 2022 · 2022
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Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
Yin, X.; Wu, G.; Wei, J.; Shen, Y.; Qi, H.; and Yin, B. 2022 · 2022
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Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Jiang, J.; Pan, D.; Ren, H.; Jiang, X.; Li, C.; and Wang, J. 2023 · 2023
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