• Corpus ID: 225072907

Iterative Graph Self-Distillation

@article{Zhang2020IterativeGS,
  title={Iterative Graph Self-Distillation},
  author={Hanlin Zhang and Shuai Lin and Weiyang Liu and Pan Zhou and Jian Tang and Xiaodan Liang and Eric P. Xing},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.12609}
}
How to discriminatively vectorize graphs is a fundamental challenge that attracts increasing attentions in recent years. Inspired by the recent success of unsupervised contrastive learning, we aim to learn graph-level representation in an unsupervised manner. Specifically, we propose a novel unsupervised graph learning paradigm called Iterative Graph Self-Distillation (IGSD) which iteratively performs the teacher-student distillation with graph augmentations. Different from conventional… 

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