Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition

Liang Yan, Gengchen Wei, Chen Yang +2

This paper introduces a new approach to address the issue of class imbalance in graph neural networks (GNNs) for learning on graph-structured data. Our approach integrates imbalanc…