A Generative Model for Controllable Feature Heterophily in Graphs

Haoyu Wang, Renyuan Ma, Gonzalo Mateos +1

We introduce a principled generative framework for graph signals that enables explicit control of feature heterophily, a key property underlying the effectiveness of graph learning…