References

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• 2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling3,706 cited
• 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
• 2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
• 2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
• 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
• 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
• 2020Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting1,732 cited
• 2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting1,075 cited
• 2021Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting1,035 cited
• 2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
• 2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited
• 2021A Survey on Deep Learning for Human Mobility360 cited
• 2020GraphSAGE-Based Traffic Speed Forecasting for Segment Network With Sparse Data