Wang et al., 2019 - Google Patents
Capturing semantic and syntactic information for link prediction in knowledge graphsWang et al., 2019
- Document ID
- 16291228165059765790
- Author
- Wang C
- Yan M
- Yi C
- Sha Y
- Publication year
- Publication venue
- The Semantic Web–ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I 18
External Links
Snippet
Link prediction has recently been a major focus of knowledge graphs (KGs). It aims at predicting missing links between entities to complement KGs. Most previous works only consider the triples, but the triples provide less information than the paths. Although some …
- 238000005295 random walk 0 abstract description 6
Classifications
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- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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