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EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion

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EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion

This is the official implementation of our IJCAI-22 paper EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion.

Run EMGC2F_demo.m to reproduce our results.

The source code in finchpp folder is based on https://github.com/ssarfraz/FINCH-Clustering and slightly modified to fulfill our needs.

If you use our code, please cite our work as:

@inproceedings{ijcai2022p495,
  title     = {EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion},
  author    = {Wu, Danyang and Lu, Jitao and Nie, Feiping and Wang, Rong and Yuan, Yuan},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {3566--3572},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/495},
  url       = {https://doi.org/10.24963/ijcai.2022/495},
}

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