Dual network embedding for representing research interests in the link prediction problem on co-authorship networks

We present a study on co-authorship network representation based on network embedding together with additional information on topic modeling of research papers and new edge embedding operator. We use the link prediction (LP) model for constructing a recommender system for searching collaborators wit...

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Detalles Bibliográficos
Autores principales: Makarov, Ilya, Gerasimova, Olga, Sulimov, Pavel, Zhukov, Leonid E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924522/
https://www.ncbi.nlm.nih.gov/pubmed/33816825
http://dx.doi.org/10.7717/peerj-cs.172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924522/
https://www.ncbi.nlm.nih.gov/pubmed/33816825
http://dx.doi.org/10.7717/peerj-cs.172

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