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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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Détails bibliographiques
Publié dans:PeerJ Comput Sci
Auteurs principaux: Makarov, Ilya, Gerasimova, Olga, Sulimov, Pavel, Zhukov, Leonid E.
Format: Artigo
Langue:Inglês
Publié: PeerJ Inc. 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7924522/
https://ncbi.nlm.nih.gov/pubmed/33816825
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.172
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