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. 2018 Dec 31;12(Suppl 9):138. doi: 10.1186/s12918-018-0662-y

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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Comparison between ROSE and SMOTE on a IntAct and b NCBI datasets. ROSE refers to applying ROSE on node2vec embeddings, while ROSE-FS refers to applying ROSE after the feature selection on node2vec embeddings