Gaotang Li

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

2024 · arXiv (Cornell University)

Heterophily, or the tendency of connected nodes in networks to have different class labels or dissimilar features, has been identified as challenging for many Graph Neural Network (GNN) models. While the challenges of applying GNNs …