SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS

时间 2020-12-30

标签 GCN 半监督分类论文繁體版

原文原文链接

SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS 摘要文章呈现了一种可缩放的半监督学习方法，利用卷积神经网络变种来进行图结构数据的学习。通过spectral graph convolution（谱图卷积）的局部一阶近似来确定卷积网络结构。隐藏层的表示是通过编码局部图结构以及结点特征来进行。介绍作者主要贡献：介绍

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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. 翻译--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. 翻译--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

>>更多相关文章<<