This repo contains the demo code and data of our IEEE TNNLS'2022 paper Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
IEEE Xplore: Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
pytorch>=1.12.0
numpy>=1.23.1
munkres>=1.1.4
scikit-learn>=1.1.2
torch-geometric>=2.1.0
If you find our work useful in your research, please consider citing:
@ARTICLE{9913735,
author={Wang, Yiming and Chang, Dongxia and Fu, Zhiqiang and Zhao, Yao},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering},
year={2022},
volume={},
number={},
pages={1-7},
doi={10.1109/TNNLS.2022.3210370}}