Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe
arXiv:2604.22676v1 Announce Type: new
Abstract: Graph neural networks achieve strong node-classification accuracy, but their learned message passing entangles ego attributes, neighborhood smoothing, high-pass graph differences, class geometry, and cla…