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An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers.

Jie SongMeiYu LiangZhe XueJunping DuFeifei Kou
Published in: CoRR (2022)
Keyphrases
  • unsupervised learning
  • supervised learning
  • learning algorithm
  • high precision
  • machine learning
  • real world
  • similarity measure
  • semi supervised
  • higher level
  • complex networks
  • weighted graph
  • unsupervised clustering