An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification. Any communications or issues are welcomed. Please contact xihong_edu@163.com. If you find this repository useful to your research or work, it is really appreciate to star this repository. ❤️
Illustration of Mixed Graph Contrastive Network for Semi-Supervised Node Classification (MGCN) mechanism.
The proposed MGCN is implemented with python 3.8.8 on a NVIDIA 1080 Ti GPU.
Python package information is summarized in requirements.txt:
- torch==1.8.0
- tqdm==4.61.2
- numpy==1.21.0
- tensorboard==2.8.0
python train.py
If you use code or datasets in this repository for your research, please cite our paper.
@article{MGCN,
title={Mixed Graph Contrastive Network for Semi-Supervised Node Classification},
author={Yang, Xihong and Liu, Yue and Zhou, Sihang and Liu, Xinwang and Zhu, En},
journal={arXiv preprint arXiv:2206.02796},
year={2022}
}