Revisiting the role of heterophily in graph representation learning: An edge classification perspective

no code implementations • 23 May 2022 • Jincheng Huang, Ping Li, Rui Huang, Chen Na, Acong Zhang

Alternatively, it is possible to exploit the information about the presence of heterophilous neighbors for feature learning, so a hybrid message passing approach is devised to aggregate homophilious neighbors and diversify heterophilous neighbors based on edge classification.

Edge Classification Graph Learning +1