2026
Certified Evaluation of Model-Level Explanations for Graph Neural Networks
ICLR 2026poster
Model-level explanations for Graph Neural Networks (GNNs) aim to identify class-discriminative motifs that capture how a classifier recognizes a target class. Because the true motifs relied on by the classifier are unobservable, most approaches evaluate explanations by their target class score. Howe…