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HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Shen HanHaitao FuYuyang WuGanglan ZhaoZhenyu SongFeng HuangZhongfei ZhangShichao LiuWen Zhang
Published in: Briefings Bioinform. (2023)
Keyphrases
  • graph representation
  • learning process
  • supervised learning
  • probabilistic model
  • prediction accuracy
  • graph model
  • social networks
  • similarity measure
  • semi supervised
  • co occurrence