论文笔记：Semi-Supervised Classification with Graph Convolutional Networks

时间 2020-12-23

标签图卷积深度学习繁體版

原文原文链接

Semi-Supervised Classification with Graph Convolutional Networks 1、四个问题要解决什么问题？半监督任务。给定一个图，其中一部节点已知标签，剩下的未知，要对整个图上的节点进行分类。用了什么方法解决？提出了一种卷积神经网络的变种，即提出了一种新的图卷积方法。使用谱图卷积（spectral graph convolution）的

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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. 【GCN】论文笔记：SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
5. 论文笔记之：Semi-supervised Classification with Graph Convolutional Networks
6. 论文笔记：SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
7. 论文笔记：LCML 2019 Simplifying Graph Convolutional Networks
8. 论文阅读笔记：GAS---spam review detection with graph convolutional networks
9. 翻译--SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
10. Graph Convolutional Networks for Text Classification阅读笔记
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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. 【GCN】论文笔记：SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
5. 论文笔记之：Semi-supervised Classification with Graph Convolutional Networks
6. 论文笔记：SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
7. 论文笔记：LCML 2019 Simplifying Graph Convolutional Networks
8. 论文阅读笔记：GAS---spam review detection with graph convolutional networks
9. 翻译--SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS
10. Graph Convolutional Networks for Text Classification阅读笔记

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