Representation Learning in Heterogeneous Information Network Based on Hyper Adjacency Graph
Heterogeneous Information Network(HIN) typically contains different types of nodes and interactions. Richer semantic information and complex relationships have posed significant challenges to current representation learning in HINs. Although most existing approaches typically use predefined meta-pat...
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Editorial Office of Computer Engineering
2023-10-01
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| Ráidu: | Jisuanji gongcheng |
| Fáttát: | |
| Liŋkkat: | https://www.ecice06.com/fileup/1000-3428/PDF/20231002.pdf |
| Fáddágilkorat: |
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