Tianjin Huang

Heterophily-Based Graph Neural Network for Imbalanced Classification

2023 · arXiv (Cornell University)

Graph neural networks (GNNs) have shown promise in addressing graph-related problems, including node classification. However, conventional GNNs assume an even distribution of data across classes, which is often not the case in real-world scenarios, where …