Awesome

GSC

The PyTorch implementation of Generative Subgraph Contrast for Self-Supervised Graph Representation Learning (GSC).

Any questions please contact hanyh@njust.edu.cn.

Dependencies

Install related dependencies using

pip install -r requirements.txt

Usage

Train and evaluate the model by executing

python train.py

Citation

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}
}

Acknowledgements

We thank the authors of GRACE and GOT for open sourcing their methods.