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Found 2 papers, 2 papers with code
SIGformer: Sign-aware Graph Transformer for Recommendation
Integrating both positive and negative feedback to form a signed graph can lead to a more comprehensive understanding of user preferences.
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Specifically, we adopt a multiple pairwise ranking loss which trains the user model to capture the similarity orders between the implicitly augmented view, the explicitly augmented view, and views from other users.
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