論文解析：Graph Convolutional Matrix Completion
論文解析：Graph Convolutional Matrix Completion 作者：Rianne van den Berg, Thomas N. Kipf, Max Welling（也是發表GCN的團隊） 會議：KDD 2018 方法 圖變分自編碼器(GAE)的應用（GAE的博客），算法核心就是下面的圖 將推薦系統的user-item交互建模爲二分圖，user和item分別是二分圖的左半部
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- 3. 論文解讀：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
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相關文章
- 1. Graph Convolutional Matrix Completion
- 2. 論文筆記：Graph Convolutional Matrix Completion
- 3. 論文解讀：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
- 4. GCMC - Graph Convolutional Matrix Completion 圖卷積矩陣補全 KDD 2018
- 5. 論文淺嘗 | Open world Knowledge Graph Completion
- 6. Inductive Matrix Completion Based on Graph Neural Networks
- 7. 論文解析：Neural Graph Collaborative Filtering
- 8. 《Large-Scale Learnable Graph Convolutional Networks》論文理解
- 9. 論文解讀：Graph Convolutional Networks for Text Classifification
- 10. Predicting drug–disease associations through layer attention graph convolutional network 論文解析