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Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering
Collaborative filtering (CF) models based on graph neural networks (GNNs) achieve strong performance in recommender systems by propagating user-item signals over interaction graphs. However, they are susceptible to popularity bias, since skewed interactions and repeated message passing across high-o
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