Abstract: Knowledge-aware recommendations improve performance by using knowledge graphs as auxiliary information. Recently, researchers have introduced the contrastive learning paradigm in ...
Abstract: Contrastive learning has emerged as a prominent approach in Heterogeneous Graph Neural Network (HGNN)-based recommender systems, exhibiting particular efficacy in addressing the sparsity ...
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