Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation
Graph neural networks are widely used for transductive node classification, with accuracy typically measured on randomly drawn train/validation/test splits. Reported accuracy has been shown to shift substantially across different random splits of the same dataset, making published comparisons between architectures unre...
Naga Venkata Sai Jitin Jami, Thomas R. Altstidl, S. Hoefler et al.
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