@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo; a np:Nanopublication . } sub:assertion { dct:title "Knowledge Graph Large Language Model (KG-LLM) for Link Prediction"; , ; , , , , , , , , , , ; a prov:Entity . a ; rdfs:label "Analogy" . a ; rdfs:label "CompleX" . a ; rdfs:label "ConGLR" . a ; rdfs:label "ConvRot" . a ; rdfs:label "DistMult" . a ; rdfs:label "GraphEdit" . a ; rdfs:label "InstructGraph" . dct:subject ; a ; rdfs:comment "This method is a variant of the KG-LLM Framework, specifically designed with a simplified \"ablation knowledge prompt.\" Unlike the full KG-LLM prompt, it removes explicit instructions, textualized IDs, and CoT reasoning from the expected response. It is introduced and evaluated by the authors as a baseline within their proposed approach to demonstrate the effectiveness of the advanced prompting strategies in the full KG-LLM Framework for multi-hop link prediction."; rdfs:label "KG-LLM (ablation) Framework"; . dct:subject ; a ; rdfs:comment "The KG-LLM Framework is a novel method that converts structured KG data (multi-hop paths) into natural language Chain-of-Thought (CoT) prompts. These prompts are then used to instruction fine-tune LLMs to enhance multi-hop link prediction and relation prediction performance in KGs. The method leverages LLMs' generative and reasoning capabilities to solve KG completion tasks."; rdfs:label "Knowledge Graph Large Language Model Framework (KG-LLM)"; . a ; rdfs:label "MuseGraph" . a ; rdfs:label "RESCAL" . a ; rdfs:label "TransE" . a ; rdfs:label "wsGAT" . } sub:provenance { sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-02-26T13:19:28.614Z"^^xsd:dateTime; dct:creator ; npx:hasNanopubType ; rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2403.07311" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"; npx:hasSignature "hZK7wJff0o+9aEzWOX2THWlnLT5r36TKlI713lqoc6CEb/T1tfIYfVabRNJS6JIN7uWLDPQARj1yl4k++T2YljfI9fCEKj/afVGc4IqvU+iUpE5BNZFNnIUMvyTZ5tPZU1EjO3x6Ul7iPS06Loe+uLxw4oMNBh6rvovR/MMlgxPC49yq18uLjk8eJSlJs3sw+7+lyCXDga9jPkvFfTxQ5oczvgm1yGES7aGYLX8RlCcYMwq7VS33S5bfI1phYHwnaJ2kOKLGZZ2OwtBkrSvmSzvbpdTapNjMH7l/c/xYeTRUh2q4ddguRDcJMxql/nQoPvvTrdOMZB3UCQQBg8P6ug=="; npx:hasSignatureTarget this:; npx:signedBy . }