This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

Related tags

Deep LearningCG3
Overview

CG3

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

Requirements

  • Tensorflow (1.14.0)

Usage

You can conduct node classification experiments on benchmark datasets (e.g., CiteSeer) by running the 'main.py' file.

Cite

Please cite our paper if you use this code in your own work:

@inproceedings{Wan2021Contrastive,
  title={Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning},
  author={Wan, Sheng and Pan, Shirui and Yang, Jian and Gong, Chen},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={11},
  pages={10049-10057},
  year={2021}
}
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