AI RESEARCH
RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation
arXiv CS.LG
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ArXi:2603.16800v1 Announce Type: new Collaborative filtering (CF) recommendation has been significantly advanced by integrating Graph Neural Networks (GNNs) and Graph Contrastive Learning (GCL). However, (i) random edge perturbations often distort critical structural signals and degrade semantic consistency across augmented views, and (ii) data sparsity hampers the propagation of collaborative signals, limiting generalization.