SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS

時間 2020-12-30

標籤 GCN 半監督分類論文简体版

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SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS 摘要文章呈現了一種可縮放的半監督學習方法，利用卷積神經網絡變種來進行圖結構數據的學習。通過spectral graph convolution（譜圖卷積）的局部一階近似來確定卷積網絡結構。隱藏層的表示是通過編碼局部圖結構以及結點特徵來進行。介紹作者主要貢獻：介紹

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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. 翻譯--SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
5. Graph Convolutional Networks for Text Classification
6. Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
7. Structural Image Classification with Graph Neural Networks
8. ImageNet Classification with Deep Convolutional Neural Networks
9. 《ImageNet Classification with Deep Convolutional Neural Network》
10. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
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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. 翻譯--SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
5. Graph Convolutional Networks for Text Classification
6. Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
7. Structural Image Classification with Graph Neural Networks
8. ImageNet Classification with Deep Convolutional Neural Networks
9. 《ImageNet Classification with Deep Convolutional Neural Network》
10. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks

>>更多相關文章<<