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The Tensorflow implementation of "MSGA: Multi Scale Graph Attention Subspace Clustering Network"

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Multi-Scale-Graph-Attention-Subspace-Clustering-Network

Usage

msga.py is the architecture of our model implemented by tensorflow.
msga_main.py is the main function and also used to load the real-world dataset .
trainer_msga.py records the way the model trained.

Data

Since the dataset is too large, we give the following access.
链接:https://pan.baidu.com/s/1i_3WJaCtSYmet-prceTqFw
提取码:qq6h

Citation

Our paper is available at https://doi.org/10.1016/j.neucom.2021.06.058.
If you make advantage of our proposed model in your research, please cite our work.

@article{wang2021multi,
  title={Multi-scale graph attention subspace clustering network},
  author={Wang, Tong and Wu, Junhua and Zhang, Zhenquan and Zhou, Wen and Chen, Guang and Liu, Shasha},
  journal={Neurocomputing},
  volume={459},
  pages={302--314},
  year={2021},
  publisher={Elsevier}
}

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The Tensorflow implementation of "MSGA: Multi Scale Graph Attention Subspace Clustering Network"

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