https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA/Head https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA/assertion https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA/provenance https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA/pubinfo https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA/assertion https://doi.org/10.48550/arXiv.2602.02382 http://purl.org/dc/terms/title ROG: Retrieval-Augmented LLM Reasoning for Complex First-Order Queries over Knowledge Graphs https://doi.org/10.48550/arXiv.2602.02382 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#ROG https://doi.org/10.48550/arXiv.2602.02382 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#BetaE https://doi.org/10.48550/arXiv.2602.02382 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#CQD https://doi.org/10.48550/arXiv.2602.02382 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#GQE https://doi.org/10.48550/arXiv.2602.02382 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Query2Box https://doi.org/10.48550/arXiv.2602.02382 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#BetaE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#BetaE http://www.w3.org/2000/01/rdf-schema#label BetaE https://neverblink.eu/ontologies/llm-kg/methods#CQD http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#CQD http://www.w3.org/2000/01/rdf-schema#label CQD https://neverblink.eu/ontologies/llm-kg/methods#GQE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#GQE http://www.w3.org/2000/01/rdf-schema#label GQE https://neverblink.eu/ontologies/llm-kg/methods#Query2Box http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Query2Box http://www.w3.org/2000/01/rdf-schema#label Query2Box https://neverblink.eu/ontologies/llm-kg/methods#ROG http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#ROG http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#ROG http://www.w3.org/2000/01/rdf-schema#comment ROG is a retrieval-augmented framework that combines query-aware neighborhood retrieval from Knowledge Graphs with Large Language Model chain-of-thought reasoning to answer complex First-Order Logic queries. 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