Revisiting Heterophily in Graph Convolution Networks by Learning Representations Across Topological and Feature Spaces

Ashish Tiwari, Sresth Tosniwal, Shanmuganathan Raman

Graph convolution networks (GCNs) have been enormously successful in learning representations over several graph-based machine learning tasks. Specific to learning rich node repres…