Ken Kaneiwa

Hierarchical Model Selection for Graph Neural Netoworks

2022 · arXiv (Cornell University)

Node classification on graph data is a major problem, and various graph neural networks (GNNs) have been proposed. Variants of GNNs such as H2GCN and CPF outperform graph convolutional networks (GCNs) by improving on the …