flyingdoog / DMGC

Deep Multi-Graph Clustering via Attentive Cross-Graph Association

DMGC

This is a 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

train the model

python run_exp.py

show visualization results

python vis.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}
}