论文解析：Graph Convolutional Matrix Completion
论文解析：Graph Convolutional Matrix Completion 作者：Rianne van den Berg, Thomas N. Kipf, Max Welling（也是发表GCN的团队） 会议：KDD 2018 方法 图变分自编码器(GAE)的应用（GAE的博客），算法核心就是下面的图 将推荐系统的user-item交互建模为二分图，user和item分别是二分图的左半部
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相关文章
- 1. Graph Convolutional Matrix Completion
- 2. 论文笔记：Graph Convolutional Matrix Completion
- 3. 论文解读：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
- 4. GCMC - Graph Convolutional Matrix Completion 图卷积矩阵补全 KDD 2018
- 5. 论文浅尝 | Open world Knowledge Graph Completion
- 6. Inductive Matrix Completion Based on Graph Neural Networks
- 7. 论文解析：Neural Graph Collaborative Filtering
- 8. 《Large-Scale Learnable Graph Convolutional Networks》论文理解
- 9. 论文解读：Graph Convolutional Networks for Text Classifification
- 10. Predicting drug–disease associations through layer attention graph convolutional network 论文解析