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In recent years, many spatial-temporal graph convolutional network (STGCN) models are proposed to deal with the spatial-temporal network data forecasting problem.
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
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Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
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Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction
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Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks
Bai, L.; Yao, L.; Kanhere, S. S.; Yang, Z.; Chu, J.; and Wang, X. 2019b
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Guo, S.; Lin, Y.; Feng, N.; Song, C.; and Wan, H. 2019a
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How Powerful are Graph Neural Networks?
Xu, K.; Hu, W.; Leskovec, J.; and Jegelka, S. 2019 · 2019
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