Hypernetwork representation learning based on hyperedge modeling

HIGHLIGHTS

• who: Yu Zhu et al. from the Department of Computer Technology and Applications, Qinghai University, Xining, China have published the paper: Hypernetwork Representation Learning Based on Hyperedge Modeling, in the Journal: Symmetry 2022, 2584 of 27/01/2020
• what: The following two aspects are the features of this paper: A hypernetwork representation learning approach based on hyperedge modeling is proposed to map the nodes in the hypernetwork to a low-dimensional vector representation space, where the main components of the learned node representation vectors are the hypernetwork structure and the hyperedges; The HRHM approach aims . . .
  

   

  

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