Self-supervised Graph Convolutional Network For Multi-view Clustering

Simple Tensorflow implementation of our TMM paper on large-scale HARR dataset.

Requirements

• Tensorflow 1.13.1
• Python 3.6
• The HARR dataset HARR
• Put the DOWNLOAD data 'X2.mat' and "data" in the folder "2021-TMM-SGCMC"

run

run_clusters.py

Citation

If you find our approach useful in your research, please consider citing:

@article{XWGTMM2021,
  author = {Wei Xia and
            Qianqian Wang and
            Quanxue Gao and
            Xiangdong Zhang and
            Xinbo Gao},
  title = {Self-supervised Graph Convolutional Network for Multi-view Clustering},
  journal   = {IEEE Transactions on Multimedia},
  doi = {10.1109/TMM.2021.3094296},
  year = {2021}
}