Skip to content

wangtong627/MSGA-NeuroCom

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 

Repository files navigation

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

Link: https://pan.baidu.com/s/1JDBhIoLp5L6Gz4M_ycGxBg?pwd=s76q

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}
}

About

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

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages