Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement

Guoming Li, Jian Yang, Xukun Wang +3

Coarsening-based training for graph neural networks (GNNs), i.e.\ training on coarsened graphs rather than the original large ones, has become a promising direction for scaling GNN…