@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix pav: . @prefix rdf: . @prefix owl: . @prefix rdfg: . @prefix dce: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { a prov:Entity; dct:title "Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering"; , ; , , , , , , , , . a ; rdfs:label "DRLK" . a ; rdfs:label "GNP" . a ; rdfs:label "GreaseLM" . a ; rdfs:label "GSC" . a ; rdfs:label "KAPING" . a ; rdfs:label "KG Flattening" . a ; dct:subject ; rdfs:comment "Knowformer is a customized transformer architecture that introduces a knowledge projector to align and inject structured knowledge representations (obtained from a GNN encoder on the KG) into the LLM's FFN layers. This method synergizes the LLM's internal processing with KG knowledge, combining LLM and KG encoders for a unified reasoning process."; rdfs:label "Knowformer"; . a ; rdfs:label "LoRA" . a ; rdfs:label "QAGNN" . a ; dct:subject ; rdfs:comment "Q-KGR proposes a method to re-score knowledge graph edges based on the semantic similarity to the input question. This process eliminates noisy pathways and focuses on pertinent factual knowledge from the KG, thereby enhancing the quality of knowledge accessible to the LLM during its inference stage for question answering."; rdfs:label "Question-guided Knowledge Graph Re-scoring (Q-KGR)"; . a ; rdfs:label "Rumination" . } sub:provenance { sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-02-26T16:31:25.085Z"^^xsd:dateTime; dct:creator ; npx:hasNanopubType ; rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2410.01401" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"; npx:hasSignature "uoooscF7qPET05/tFyEviHTR4bDEl8ic5oN8J5Z4Qt6285eb/r2S6aQhj8bQUFqOugaXh7B7A7rV2b8jkdEfhtK70cPyDEHTWbuaWIfl2bZ9V9rdlMdwLMah0XqracNqkA6AA7VqO03zx8VPRnF/lL2Jvs/ITFYTyEVqTzW/3opFZuU+M8YtUr+eU29/Mp86/7x6u48QzkJZYyLCaQDRo80Pu3gUnVDSZuWls2nXbOGg1gNzclTlB4tKsHaaDjvbNilxOGjvc3dlGZaMB1DZrmCXh3WABiE9k9uDoeaO583Rs7blirqYhQyk9ou19npYsDW+fhWGtmiPffWHXfRlxA=="; npx:hasSignatureTarget this:; npx:signedBy . }