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LLMKG＋: Systematically improving knowledge quality and coverage in KGs using LLMs – A case study in medical domain

AI Open(2025)10.1016/j.aiopen.2025.11.003Source: DataRank Database

LLMKG＋: Systematically improving knowledge quality and coverage in KGs using LLMs – A case study in medical domain is a research paper published in AI Open (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (10)

Hejie Cui ORCID,Kumiko Hayashi ORCID,Huy Hien Vu ORCID,Kenta T. Suzuki,Noriki Nishida ORCID

Live enrichment

National Science Foundation

Grant: 2442172

CAREER: Expediting Next-Generation AI for Health via KG-LLM Co-Learning

NIH

Grant: K25DK135913

Japan Science and Technology Agency

Grant: JPMJSP2140

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1016/j.aiopen.2025.11.003

publisherhttps://api.elsevier.com/content/article/PII:S2666651025000221?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666651025000221?httpAccept=text/plain

repositoryhttps://doaj.org/article/111fa7ecbe7241b6b14744099269a12d

https://doi.org/10.2139/ssrn.5428658

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology