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With the recent success of graph convolutional networks (GCNs), they have been widely applied for recommendation, and achieved impressive performance gains.
Matrix Factorization Techniques for Recommender Systems
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Dual Channel Hypergraph Collaborative Filtering. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD) . 2020–2029
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A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD) . 2030–2039
Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, et al · 2039
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