Web: http://arxiv.org/abs/2201.10751

Jan. 27, 2022, 2:10 a.m. | Junfa Lin, Siyuan Chen, Jiahai Wang

cs.LG updates on arXiv.org arxiv.org

Recommender systems based on graph neural networks receive increasing
research interest due to their excellent ability to learn a variety of side
information including social networks. However, previous works usually focus on
modeling users, not much attention is paid to items. Moreover, the possible
changes in the attraction of items over time, which is like the dynamic
interest of users are rarely considered, and neither do the correlations among
items. To overcome these limitations, this paper proposes graph neural networks …

arxiv graph graph neural networks networks neural neural networks social

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