CoRe-GNN

CoRe-GNN advances graph neural network training with dual message passing

Researchers have introduced CoRe-GNN, a novel approach to training graph neural networks (GNNs) on large graphs. This method addresses memory limitations by performing two types of message passing in parallel: a coarsen…