Spatial–Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting

Soumyanil Banerjee, Ming Dong, Weisong Shi

Abstract: Highlights•Proposed Spatial–Temporal Synchronous Graph Transformer network (STSGT).•STSGT captures complex spatial and temporal dependencies of COVID time series data.•STSGT accurately forecasts the future COVID cases.•STSGT utilizes multi-head self-attention with graph convolution network (GCN).•STSGT significantly outperforms other state-of-the-art models.

External IDs:doi:10.1016/j.smhl.2022.100348