PyTorch Geometric Temporal extends the PyTorch Geometric ecosystem to handle time-evolving graph data using deep learning models. It provides implementations of graph convolutional networks and other GNN variants designed for temporal and spatiotemporal signals, enabling practitioners to process dynamic networks where node features and graph topology change over time. The library is used for research and applied ML on temporal graph structures.