<p>Predicting drug side-effects using deep representation learning for graphs</p>

Marinka Zitnik; Jure  Leskovec

doi:10.7490/f1000research.1117191.1

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Zitnik M and Leskovec J. Predicting drug side-effects using deep representation learning for graphs [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):1262 (poster) (https://doi.org/10.7490/f1000research.1117191.1)

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Predicting drug side-effects using deep representation learning for graphs

Marinka Zitnik¹, Jure Leskovec

Published 30 Jul 2019 (https://doi.org/10.7490/f1000research.1117191.1)

Author Affiliations

¹ Stanford University, USA

Copyright © 2019 Zitnik M and Leskovec J. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 30 Jul 2019

Predicting drug side-effects using deep representation learning for graphs
[version 1; not peer reviewed]

Marinka Zitnik¹, Jure Leskovec

Author Affiliations

¹ Stanford University, USA

Presented at

26th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2018

Abstract

Competing Interests

No competing interests were disclosed

Keywords

polypharmacy, graph neural networks, representation learning, network embeddings

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