SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
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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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. 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