Graph contrastive learning smooths the embedding spectrum, which makes recommender systems more vulnerable to targeted item promotion attacks, and a spectral defense (SIM) can suppress those attacks.
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When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation
Graph contrastive learning smooths the embedding spectrum, which makes recommender systems more vulnerable to targeted item promotion attacks, and a spectral defense (SIM) can suppress those attacks.