Adding virtual nodes with a semi-adaptive adjacency matrix improves long-term traffic flow prediction accuracy over a standard STGCN baseline.
Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting
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Virtual Nodes Improve Long-term Traffic Prediction
Adding virtual nodes with a semi-adaptive adjacency matrix improves long-term traffic flow prediction accuracy over a standard STGCN baseline.