A graph neural network recommendation algorithm based on multi-scale attention and contrastive learning
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When facing sparse user-item interaction data, recommendation systems often struggle to learn high-quality representations, which in turn affects the recommendation performance. To address this issue, this paper proposes a graph neural network-based recommenda... ...
