Fusion of text and graph information for machine learning problems on networks

Today, increased attention is drawn towards network representation learning, a technique that maps nodes of a network into vectors of a low-dimensional embedding space. A network embedding constructed this way aims to preserve nodes similarity and other specific network properties. Embedding vectors...

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Detalles Bibliográficos
Autores principales: Makarov, Ilya, Makarov, Mikhail, Kiselev, Dmitrii
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157042/
https://www.ncbi.nlm.nih.gov/pubmed/34084929
http://dx.doi.org/10.7717/peerj-cs.526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157042/
https://www.ncbi.nlm.nih.gov/pubmed/34084929
http://dx.doi.org/10.7717/peerj-cs.526

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