KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
IEEE Transactions on Intelligent Transportation Systems（2022）
Key words
Roads,Forecasting,Predictive models,Data models,Semantics,Correlation,Mathematical models,Traffic flow forecasting,multisource spatial-temporal data,knowledge representation,spatial-temporal graph convolutional networks
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