Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation

This paper proposes a homophily-aware stratification method to improve the stability and reliability of Graph Neural Network evaluation.

Auto-scored: A methodological contribution to GNN evaluation with no direct risk or mitigation implications.