Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation

Yoonhyuk Choi, Jiho Choi, Taewook Ko +1

Graph neural networks (GNNs) are commonly used in semi-supervised settings. Previous research has primarily focused on finding appropriate graph filters (e.g. aggregation methods)…