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
• 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
• 2015Short-term traffic flow prediction using seasonal ARIMA model with limited input data863 cited
• 2021Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting799 cited
• 2023PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction750 cited
• 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey691 cited
• 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
• 2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution618 cited
• 2022Decoupled dynamic spatial-temporal graph neural network for traffic forecasting