Heterophily-Based Graph Neural Network for Imbalanced Classification

Zirui Liang, Yuntao Li, Tianjin Huang +3

Graph neural networks (GNNs) have shown promise in addressing graph-related problems, including node classification. However, conventional GNNs assume an even distribution of data…