Recently, various Graph Convolution Networks (GCNs) have been developed to represent the human skeleton using dynamic graph structures, enhancing the flexibility of node feature aggregation. However, ...

Accurate spatiotemporal forecasting is of great significance in fields such as public health, environmental monitoring, and smart cities. In recent years, researchers have widely adopted ...