论文解读（SCAGC）《Self-supervised Contrastive Attributed Graph Clustering》
2022-05-20 21:46
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论文信息
论文标题：Self-supervised Contrastive Attributed Graph Clustering
论文作者：Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao
论文来源：2021, arXiv
论文地址：download
论文代码：download
1 Introduction
基于对比学习的图聚类算法存在的问题：
- [li]无法从不精确的聚类标签中获益；
- 需要进行后处理操作才能获得聚类标签；
- 不能解决 out-of-sample(OOS)问题；
本文比较简单，不做过多赘述。
2 Method
总体框架如下：
组件：
- [li]Shared Graph Convolutional Encoder
- Self-Supervised GCRL Module
- Contrastive Clustering Module
算法
3 Experiment
数据集
聚类结果
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