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Zoo Guide to Network Embedding

dc.contributor.authorBaptista, A
dc.contributor.authorSanchez-Garcia, R
dc.contributor.authorBaudot, A
dc.contributor.authorBianconi, G
dc.date.accessioned2024-01-16T13:59:26Z
dc.date.available2023-11-20
dc.date.available2024-01-16T13:59:26Z
dc.date.issued2023
dc.identifier.issn2632-072X
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/93939
dc.description.abstractNetworks have provided extremely successful models of data and complex systems. Yet, as combinatorial objects, networks do not have in general intrinsic coordinates and do not typically lie in an ambient space. The process of assigning an embedding space to a network has attracted great interest in the past few decades, and has been efficiently applied to fundamental problems in network inference, such as link prediction, node classification, and community detection. In this review, we provide a user-friendly guide to the network embedding literature and current trends in this field which will allow the reader to navigate through the complex landscape of methods and approaches emerging from the vibrant research activity on these subjects.en_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofJournal of Physics: Complexity
dc.rightsThis item 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.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleZoo Guide to Network Embeddingen_US
dc.typeArticleen_US
dc.rights.holder© 2023 The Author(s). Published by IOP Publishing Ltd
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2023-11-20
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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This item 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.
Except where otherwise noted, this item's license is described as This item 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.