SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training

Xizhi Gu, Hongzheng Li, Shihong Gao +3

Graph Neural Networks (GNNs) have superior capability in learning graph data. Full-graph GNN training generally has high accuracy, however, it suffers from large peak memory usage…