Journal Article10.1016/j.engappai.2023.105981
Graph convolutional network combining node similarity association and layer attention for personalized recommendation
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TL;DR: Zhang et al. as discussed by the authors proposed a GCN based recommendation model combining node similarity association and layer attention mechanism (NSAGCN) for predicting user-item interactions in personalized recommendation, which integrates the similarity associations of the same type nodes into a heterogeneous network based on the bipartite graph of user interaction to enrich semantic information of the original sparse interaction graph.
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About: This article is published in Engineering Applications of Artificial Intelligence. The article was published on 01 May 2023. The article focuses on the topics: Computer science & Bipartite graph.
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