@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 "GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning"; , ; , , , , , , , , , ; a prov:Entity . a ; rdfs:label "G-Retriever" . dct:subject ; "https://github.com/cmavro/ReaRev_KGQA"^^xsd:anyURI; a ; rdfs:comment "GNN-RAG enhances LLM performance on KGQA by using a GNN to retrieve relevant multi-hop reasoning paths from a KG. These verbalized paths are then fed to the LLM as context for RAG, thereby improving the LLM's ability to answer complex questions during its inference stage and reducing hallucinations."; rdfs:label "GNN-RAG"; . dct:subject ; "https://github.com/cmavro/ReaRev_KGQA"^^xsd:anyURI; a ; rdfs:comment "GNN-RAG+RA further boosts LLM KGQA performance by employing retrieval augmentation, combining GNN-induced reasoning paths with LLM-based retrieved paths (e.g., from RoG). This method increases the diversity and recall of retrieved KG information, which in turn enhances the LLM's reasoning and answer accuracy during inference."; rdfs:label "GNN-RAG+RA"; . a ; rdfs:label "GraftNet" . a ; rdfs:label "KB-BINDER" . a ; rdfs:label "KD-CoT" . a ; rdfs:label "LM SR" . a ; rdfs:label "NSM" . a ; rdfs:label "ReaRev" . a ; rdfs:label "RoG" . a ; rdfs:label "SBERT" . a ; rdfs:label "ToG" . } sub:provenance { sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-02-26T16:19:24.245Z"^^xsd:dateTime; dct:creator ; npx:hasNanopubType ; rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2405.20139" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"; npx:hasSignature "BKsB5zCOEzTtCoNJXfgkuVcii70xQEEIZvULiMb7TOExh+jgJZmVp87Witiqu7hPU3K4GTylk5Tp5HVNrpvC8e69ReYOY61xQ5lT+VX/ZUhb2FazXHRyZxPL1ARcVYsQfSKstOKRT6ycrm0iDRXYwbUpCpdc1eVQMOMitTdAEpAU2VdsOK/8KUKHNuiiLaDMG8bA7w3G5GCrovB1TKBUjssZSzA4IpzSk5xRm3o3q6gSavmRcnZFIQlxbv2Vaqp+mTR11RYHDglRXf5yrUbzRv5hgKOO+u6BCOPiD/Y+khvj2gsvniKj/XEbnvw4e3lcMs3XXU+ju7F35A9fPTXLEg=="; npx:hasSignatureTarget this:; npx:signedBy . }