References

• 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 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
• 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
• 2015Short-term traffic flow prediction using seasonal ARIMA model with limited input data863 cited
• 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
• 2019Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning621 cited
• 2019Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization74 cited

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