Finding asymptomatic spreaders in a covid-19 transmission network by graph attention networks

HIGHLIGHTS

  • who: Zeyi Liu and collaborators from the College of Systems Engineering, National University of Defense Technology, Changsha, China have published the research: Finding Asymptomatic Spreaders in a COVID-19 Transmission Network by Graph Attention Networks, in the Journal: Viruses 2022, 14, 1659. of /2022/
  • what: The authors propose an RNA virus transmission network representation model based on graph attention networks (RVTR); this model is constructed using the principle of natural language processing to learn the information of gene sequence and using a graph attention network to catch the topological character of COVID-19 transmission networks . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?