Principled approach to the selection of the embedding dimension of networks

Network embedding is a machine learning technique for construction of low-dimensional representations of large networks. Gu et al. propose a method for the identification of an optimal embedding dimension for the encoding of network structural information inspired by natural language processing.

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Autores principales:	Weiwei Gu, Aditya Tandon, Yong-Yeol Ahn, Filippo Radicchi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0c8b312268dc4e2b98ab779364193bb3
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spelling	oai:doaj.org-article:0c8b312268dc4e2b98ab779364193bb32021-12-02T17:40:29ZPrincipled approach to the selection of the embedding dimension of networks10.1038/s41467-021-23795-52041-1723https://doaj.org/article/0c8b312268dc4e2b98ab779364193bb32021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23795-5https://doaj.org/toc/2041-1723Network embedding is a machine learning technique for construction of low-dimensional representations of large networks. Gu et al. propose a method for the identification of an optimal embedding dimension for the encoding of network structural information inspired by natural language processing.Weiwei GuAditya TandonYong-Yeol AhnFilippo RadicchiNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Weiwei Gu Aditya Tandon Yong-Yeol Ahn Filippo Radicchi Principled approach to the selection of the embedding dimension of networks
description	Network embedding is a machine learning technique for construction of low-dimensional representations of large networks. Gu et al. propose a method for the identification of an optimal embedding dimension for the encoding of network structural information inspired by natural language processing.
format	article
author	Weiwei Gu Aditya Tandon Yong-Yeol Ahn Filippo Radicchi
author_facet	Weiwei Gu Aditya Tandon Yong-Yeol Ahn Filippo Radicchi
author_sort	Weiwei Gu
title	Principled approach to the selection of the embedding dimension of networks
title_short	Principled approach to the selection of the embedding dimension of networks
title_full	Principled approach to the selection of the embedding dimension of networks
title_fullStr	Principled approach to the selection of the embedding dimension of networks
title_full_unstemmed	Principled approach to the selection of the embedding dimension of networks
title_sort	principled approach to the selection of the embedding dimension of networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0c8b312268dc4e2b98ab779364193bb3
work_keys_str_mv	AT weiweigu principledapproachtotheselectionoftheembeddingdimensionofnetworks AT adityatandon principledapproachtotheselectionoftheembeddingdimensionofnetworks AT yongyeolahn principledapproachtotheselectionoftheembeddingdimensionofnetworks AT filipporadicchi principledapproachtotheselectionoftheembeddingdimensionofnetworks
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Principled approach to the selection of the embedding dimension of networks

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