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

no code implementations • 1 Nov 2022 • Ashish Tiwari, Sresth Tosniwal, Shanmuganathan Raman

Graph convolution networks (GCNs) have been enormously successful in learning representations over several graph-based machine learning tasks.

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