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Joint Node-Edge Network Embedding for Link Prediction

  • Ilya MakarovEmail author
  • Olga Gerasimova
  • Pavel Sulimov
  • Ksenia Korovina
  • Leonid E. Zhukov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11179)

Abstract

In this paper, we consider new formulation of graph embedding algorithm, while learning node and edge representation under common constraints. We evaluate our approach on link prediction problem for co-authorship network of HSE researchers’ publications. We compare it with existing structural network embeddings and feature-engineering models.

Keywords

Graph embedding Link prediction Node2vec Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.National Research University Higher School of EconomicsMoscowRussia
  2. 2.Faculty of Computer and Information ScienceUniversity of LjubljanaLjubljanaSlovenia

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