STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
STM-Graph is an open-source Python framework that converts raw urban event data into graph structures for Graph Neural Network (GNN) training and prediction. It unifies spatial mapping, urban feature integration, GNN model building, and visualization into one modular system. This tool allows researchers to rapidly experiment with different spatial methods and models for urban intelligence applications.