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Proceedings of the AAAI Conference on Artificial Intelligence· 2020

Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan

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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Field: Building and Construction

Building and ConstructionEngineering