Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs
Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs
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Author / Creator
Liu, Hongbo , Lu, Jicang , Zhang, Tianzhi , Hou, Xuemei and An, Peng
Publisher
United States: PeerJ. Ltd
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English
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United States: PeerJ. Ltd
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Contents
Inductive link prediction (ILP) in knowledge graphs (KGs) aims to predict missing links between entities that were not seen during the training phase. Recent some subgraph-based methods have shown some advancements, but they all overlook the relational semantics between entities during subgraph extraction. To overcome this limitation, we introduce...
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Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs
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TN_cdi_doaj_primary_oai_doaj_org_article_b6fd203a40bc4b669fca95f7de99f406
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6fd203a40bc4b669fca95f7de99f406
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ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.2324