Contrastive Multi-View Representation Learning on Graphs

Last update: Dec 23, 2022

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Overview

Contrastive Multi-View Representation Learning on Graphs

This work introduces a self-supervised approach based on contrastive multi-view learning to learn node and graph level representations.

It has been accepted at ICML 2020:

https://arxiv.org/abs/2006.05582

Reference

@incollection{icml2020_1971,
 author = {Hassani, Kaveh and Khasahmadi, Amir Hosein},
 booktitle = {Proceedings of International Conference on Machine Learning},
 pages = {3451--3461},
 title = {Contrastive Multi-View Representation Learning on Graphs},
 year = {2020}
}

Owner

Kaveh

Principal AI Research Scientist

GitHub Repository

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Contrastive Multi-View Representation Learning on Graphs

Related tags

Overview

Contrastive Multi-View Representation Learning on Graphs

Reference

Owner

Kaveh

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This repo contains research materials released by members of the Google Brain team in Tokyo.

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code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

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