https://w3id.org/np/RAS-0OM11mapYuyVaN1gXkHnZWCvmVxg4EjoeYc1gQzpo
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sub:assertion {
<https://doi.org/10.48550/arXiv.2405.20139> a prov:Entity;
dct:title "GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning";
<http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#GnnRag>,
<https://neverblink.eu/ontologies/llm-kg/methods#GnnRagRa>;
<http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#GRetriever>,
<https://neverblink.eu/ontologies/llm-kg/methods#GraftNet>, <https://neverblink.eu/ontologies/llm-kg/methods#KbBinder>,
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<https://neverblink.eu/ontologies/llm-kg/methods#Nsm>, <https://neverblink.eu/ontologies/llm-kg/methods#ReaRev>,
<https://neverblink.eu/ontologies/llm-kg/methods#RoG>, <https://neverblink.eu/ontologies/llm-kg/methods#Sbert>,
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rdfs:label "G-Retriever" .
<https://neverblink.eu/ontologies/llm-kg/methods#GnnRag> a <http://purl.org/spar/fabio/Workflow>;
dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
<http://purl.org/spar/fabio/hasURL> "https://github.com/cmavro/ReaRev_KGQA"^^xsd:anyURI;
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";
<https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
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dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
<http://purl.org/spar/fabio/hasURL> "https://github.com/cmavro/ReaRev_KGQA"^^xsd:anyURI;
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";
<https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
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rdfs:label "GraftNet" .
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rdfs:label "KD-CoT" .
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rdfs:label "LM SR" .
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rdfs:label "NSM" .
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rdfs:label "ReaRev" .
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rdfs:label "RoG" .
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rdfs:label "SBERT" .
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rdfs:label "ToG" .
}
sub:provenance {
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