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InfoGraph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Install / Use

/learn @sunfanyunn/InfoGraph
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Authors: Fan-yun Sun, Jordan Hoffman, Vikas Verma, Jian Tang

Link to Paper

Tested on pytorch 1.6.0 and pytorch_geometric 1.6.1

Experiments reported on the paper are conducted in 2019 with pytorch_geometric==1.3.1. Note that the code regarding of QM9 dataset in pytorch_geometric has been changed since then. Thus, if you run this codebase with pytorch_geometric>=1.6.1, you may obtain results different from those reported on the paper.

Citation

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

@inproceedings{sun2019infograph,
  title={InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization},
  author={Sun, Fan-Yun and Hoffman, Jordan and Verma, Vikas and Tang, Jian},
  booktitle={International Conference on Learning Representations},
  year={2019}
}

We thank the following work: Deep InfoMax

View on GitHub
GitHub Stars324
CategoryEducation
Updated25d ago
Forks44

Languages

Python

Security Score

85/100

Audited on Mar 7, 2026

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