Comments (4)
这是一个关于deep graph clustering方法的集合,包括了paper,data,code,一些具体的链接已经放在了README.md里面,然后也给出了一些数据处理和基础的pipeline的流程,在dgc的文件夹下面。由于这个项目并没有提出什么模型,所以没有model的文件。关于deep graph clustering的统一框架可以参考这个链接:https://github.com/Marigoldwu/A-Unified-Framework-for-Deep-Attribute-Graph-Clustering。关于一些方法的代码可以参考这些链接:https://github.com/yueliu1999/DCRN,https://github.com/yueliu1999/HSAN,https://github.com/yueliu1999/Dink-Net。
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您好,感谢关注,该项目一直在开源的状态中,也随时欢迎提pr。
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您好,感谢回复,似乎没看到model定义和main.py呢
from awesome-deep-graph-clustering.
原来如此,好滴哈,非常感谢,再次感谢开源该项目
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Related Issues (10)
- In the dataset part, it looks like Citeseer and Cite datasets have the same link. HOT 1
- Papers to add HOT 1
- The code link for GEC-CSD seems to be wrong HOT 1
- How to use for graph level unsupervised clustering, not the node? HOT 1
- edge number of cora dataset ? HOT 1
- The main.py file cannot be found HOT 1
- Suggest paper to add HOT 3
- Dataset issues HOT 1
- 关于模型预训练 HOT 1
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