Heterophily‐Aware Motif‐Guided Contrastive Learning for Robust Social Recommendation
ABSTRACT The homophily principle serves as the core foundation of graph neural network (GNN) based social recommendation, which assumes socially connected users share similar preferences and enables neighbourhood aggregation for user representation learning. Most existing methods directly aggregate information from ori...