論文筆記：Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks 1、四個問題 要解決什麼問題？ 半監督任務。給定一個圖，其中一部節點已知標籤，剩下的未知，要對整個圖上的節點進行分類。 用了什麼方法解決？ 提出了一種卷積神經網絡的變種，即提出了一種新的圖卷積方法。 使用譜圖卷積（spectral graph convolution）的
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相關文章
- 1. Semi-Supervised Classification With Graph Convolutional Networks
- 2. SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
- 3. Semi-Supervised Classification with Graph Convolutional Networks
- 4. 【GCN】論文筆記：SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
- 5. 論文筆記之：Semi-supervised Classification with Graph Convolutional Networks
- 6. 論文筆記：SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
- 7. 論文筆記：LCML 2019 Simplifying Graph Convolutional Networks
- 8. 論文閱讀筆記：GAS---spam review detection with graph convolutional networks
- 9. 翻譯--SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
- 10. Graph Convolutional Networks for Text Classification閱讀筆記