HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration

Weijian Chen, Shuibing He, Haoyang Qu +1

Distributed training of graph neural networks (GNNs) has become a crucial technique for processing large graphs. Prevalent GNN frameworks are model-centric, necessitating the trans…