HIGHLIGHTS
- who: Zhuo Li et al. from the The School of Microelectronics, Tianjin University, Tianjin, China have published the paper: OCPHN: Outfit Compatibility Prediction with Hypergraph Networks, in the Journal: Mathematics 2022, 10, 3913. of 21/Oct/2022
- what: To address the problem in this paper the authors propose a novel hypergraph-based compatibility modeling scheme named OCPHN which is able to better model complex relationships among outfits. In OCPHN, the authors propose a new form of outfit representation: hypergraph representation. The authors propose a novel method, OCPHN, which can model multiple nodes` interactions in the . . .
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