References

• 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
• 2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling3,706 cited
• 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 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
• 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
• 2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting1,075 cited
• 2021Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting1,035 cited
• 2021Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting799 cited
• 2021Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting725 cited
• 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
• 2020Traffic Flow Prediction via Spatial Temporal Graph Neural Network