Spatial-Temporal Graph Convolutional Networks (ST-GCN) extend traditional GCNs by incorporating both spatial and temporal information in the graph. This enables ST-GCN models to capture the dynamic nature of certain systems, such as traffic networks, where the interactions between entities change over time. ST-GCNs are particularly useful for tasks that require understanding the evolution of relationships in graph-structured data.