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. 2021 Aug 11;13:58. doi: 10.1186/s13321-021-00540-0

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© The Author(s) 2021, corrected publication 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 3 — Visualization of sub-graph embeddings for the target local environment. The scatter plot was created by reducing the number of dimensions with the Principal Component Analysis (PCA) of five different subgraphs (represented by different maker shapes), each with several different sizes. The size is defined as the number of highly confident neighbors of a target node (N) increasing from 10 to 70 (shown in different colors)