Identifying key information on life cycle of engineering data by graph convolutional networks and data mining

HIGHLIGHTS

• who: Lijing Ren and Denghui Zhang from the Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China have published the article: Identifying Key Information on Life Cycle of Engineering Data by Graph Convolutional Networks and Data Mining, in the Journal: Buildings 2022, 12, x FOR PEER REVIEW of 27/07/2022
• what: To identify key nodes in data-limited scenarios, in this paper, the authors propose a datamining-based graph convolutional model (DMGCN). It one of the important reasons for the small-world phenomenon. This experiment shows identifying key key identifying nodes. This experiment showsthe . . .
  

   

  

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