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Aug, 2021
使用图自编码器进行归纳矩阵补全
Inductive Matrix Completion Using Graph Autoencoder
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Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He...
TL;DR
提出了一种针对缺失数据的归纳矩阵补全方法,通过图自编码器学习用户(或物品)的具体表示和局部图模式来实现个性化推荐。实验表明该模型在多个矩阵补全基准测试中均达到了最先进的性能水平。
Abstract
Recently, the graph neural network (GNN) has shown great power in
matrix completion
by formulating a rating matrix as a bipartite graph and then predicting the link between the corresponding user and item nodes. The majority of GNN-based
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