Corpus ID: 220495837

Graph Factorization Machines for Cross-Domain Recommendation

  title={Graph Factorization Machines for Cross-Domain Recommendation},
  author={Dongbo Xi and Fuzhen Zhuang and Yongchun Zhu and Pengpeng Zhao and Xiangliang Zhang and Qing He},
Recently, graph neural networks (GNNs) have been successfully applied to recommender systems. In recommender systems, the user's feedback behavior on an item is usually the result of multiple factors acting at the same time. However, a long-standing challenge is how to effectively aggregate multi-order interactions in GNN. In this paper, we propose a Graph Factorization Machine (GFM) which utilizes the popular Factorization Machine to aggregate multi-order interactions from neighborhood for… Expand
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