Transcription of LightGCN: Simplifying and Powering Graph Convolution ...
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LightGCN: Simplifying and Powering Graph Convolution ...
lightgcn : Simplifying and Powering Graph ConvolutionNetwork for RecommendationXiangnan HeUniversity of Science and Technologyof DengUniversity of Science and Technologyof WangNational University of LiBeijing Kuaishou TechnologyCo., ZhangUniversity of Science and Technologyof Wang Hefei University of Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons ofits effectiveness for recommendation are not well work that adapts GCN to recommendation lacks thoroughablation analyses on GCN, which is originally designed for graphclassification tasks and equipped with many neural networkoperations. However, we empirically find that the two mostcommon designs in GCNs feature transformation and nonlinearactivation contribute little to the performance of collaborativefiltering.
University of Science and Technology of China xiangnanhe@gmail.com Kuan Deng University of Science and Technology of China dengkuan@mail.ustc.edu.cn Xiang Wang National University of Singapore xiangwang@u.nus.edu Yan Li Beijing Kuaishou Technology Co., Ltd. liyan@kuaishou.com Yongdong Zhang University of Science and Technology of China …
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