Peer Review #1 of "Dual network embedding for representing research interests in the link prediction problem on co-authorship networks (v0.2)"
Abstract: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 link prediction model for constructing recommender system for searching collaborators with similar research interests. Extracting topics for each paper we construct keywords co-occurrence network and use its embedding for further generalizing author attributes. Standard graph feature engineering and network embedd… Show more
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