Beyond Fixed Features: Architecture-Dependent Sensitivity to Node Representations under Heterophily.

arXiv:2609.33764v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) perform well on homophilic graphs but struggle in heterophilic settings, where connected nodes often carry dissimilar labels. Existing evaluations typically compare architectures un