A two-stage deep-learning model for link prediction based on network structure and node attributes

HIGHLIGHTS

• who: Peng Liu et al. from the School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, China have published the Article: A Two-Stage Deep-Learning Model for Link Prediction Based on Network Structure and Node Attributes, in the Journal: Sustainability 2022, 14, 16299. of /2022/
• what: This paper proposed a two-stage deep-learning model for link prediction (i.e TDLP) where the node representation vector of the network structure and attributes was obtained in the first stage while link prediction was realized through supervised learning in the second stage. Based . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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