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
• 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 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
• 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
• 2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting1,075 cited
• 2021Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting1,035 cited
• 2016DNN-based prediction model for spatio-temporal data739 cited
• 2020Traffic Flow Prediction via Spatial Temporal Graph Neural Network670 cited
• 2019Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning