Link Prediction with Hypergraphs via Network Embedding
Link Prediction with Hypergraphs via Network Embedding
About this item
Full title
Author / Creator
Zhao, Zijuan , Yang, Kai and Guo, Jinli
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Network embedding is a promising field and is important for various network analysis tasks, such as link prediction, node classification, community detection and others. Most research studies on link prediction focus on simple networks and pay little attention to hypergraphs that provide a natural way to represent complex higher-order relationships...
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Full title
Link Prediction with Hypergraphs via Network Embedding
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2b17d5de4b9648a1a32b9dd1eb537f8d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b17d5de4b9648a1a32b9dd1eb537f8d
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13010523