Abstract: Graph classification is of great significance to many real-world applications like drug discovery, for which subgraph neural networks are gaining increasing attention due to their strong ...

Most of federated learning (FL) researches mainly focus on image and voice data at the expense of graph data. However, Graph Federated Learning (GFL) is specialized for FL on graph, and received ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...