The PyTorch implementation of Generative Subgraph Contrast for Self-Supervised Graph Representation Learning (GSC).
Any questions please contact hanyh@njust.edu.cn.
Install related dependencies using
pip install -r requirements.txt
Train and evaluate the model by executing
python train.py
If you use our code in your own research, please cite the following article:
@article{han2022generative,
title={Generative Subgraph Contrast for Self-Supervised Graph Representation Learning},
author={Han, Yuehui and Hui, Le and Jiang, Haobo and Qian, Jianjun and Xie, Jin},
journal={arXiv preprint arXiv:2207.11996},
year={2022}
}We thank the authors of GRACE and GOT for open sourcing their methods.