Original implementation for paper GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.
GCC is a contrastive learning framework that implements unsupervised structural graph representation pre-training and achieves state-of-the-art on 10 datasets on 3 graph mining tasks.
See INSTALL.md.
See GETTING_STARTED.md.
If you use GCC in your research or wish to refer to the baseline results, please use the following BibTeX.
@article{qiu2020gcc,
title={GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training},
author={Qiu, Jiezhong and Chen, Qibin and Dong, yuxiao and Zhang, Jing and Yang, Hongxia and Ding, Ming and Wang, Kuansan and Tang, Jie},
journal={arXiv preprint arXiv:2006.09963},
year={2020}
}