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 . . .
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.