Proceedings of the AAAI Conference on Artificial Intelligence· 2020
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
- 1,509citations
- 2020year
Short summary
A new model, STSGCN, effectively forecasts spatial-temporal network data by simultaneously capturing localized spatial and temporal correlations and handling data heterogeneities across different time periods.
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