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Deep Multi-Graph Clustering via Attentive Cross-Graph Association
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datasets
DMGC.py
README.md
datasets.py
inits.py
layers.py
metrics.py
run_exp.py
utils.py

README.md

DMGC

This is an Tensorflow implementation of the paper: Deep Multi-Graph Clustering via Attentive Cross-Graph Association

WSDM 2020

Requirements

  • Python 3.6.2
  • tensorflow (>0.12)
  • networkx

Usage

*python run_exp.py

References

@inproceedings{luo2020deep,
  title={Deep Multi-Graph Clustering via Attentive Cross-Graph Association},
  author={Luo, Dongsheng and Ni, Jingchao and Wang, Suhang and Bian, Yuchen and Yu, Xiong and Zhang, Xiang},
  booktitle={Proceedings of the Thirteenth ACM International Conference on Web Search and Data Mining},
  year={2020},
  organization={ACM}
}
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