Pharsana Parveen M

ASRA-GNN: ADAPTIVE SIGNED RELATION-AWARE GRAPH NEURAL NETWORK FOR FRIEND RECOMMENDATION

ASRA-GNN addresses gaps in Signed Graph Neural Networks through three contributions: Sign-Aware Structural Role Attention grounded in four social network theories, a Locally Adaptive Theory Mixing gate replacing TrustSGCN's binary global threshold with a continuous per-node end-toend learned mixing function, and a Signed Contrastive Recommendation Loss providing the first ranking objective for signed user-user graphs.