Preprint
Jul 2026
Signed-Graph Recommendation as Structural Consistency Maximization
This work identifies a fundamental inconsistency across the structural, propagation, and semantic layers of existing models that leads to biased representations learned from sparse or noisy datasets, and proposes a unified framework named SSC-Loop that treats signed social recommendation as the maximization of structural consistency.
Zifan Wang, Siyu Chen, Wenzhuo Song
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