https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/Head https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/assertion https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/provenance https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/pubinfo https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/assertion https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/dc/terms/title Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#biranEtAlBackPatching https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#graphLLM https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#graphRAG https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa https://doi.org/10.48550/arXiv.2412.10654 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#reasoningOnGraphRoG https://doi.org/10.48550/arXiv.2412.10654 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#biranEtAlBackPatching http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#biranEtAlBackPatching http://www.w3.org/2000/01/rdf-schema#label Biran et al. Back-patching Approach https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding http://www.w3.org/2000/01/rdf-schema#label Dernbach et al. Neighborhood Partitioning and Encoding Scheme https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy http://www.w3.org/2000/01/rdf-schema#label Graph2Text Strategy https://neverblink.eu/ontologies/llm-kg/methods#graphLLM http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#graphLLM http://www.w3.org/2000/01/rdf-schema#label GraphLLM https://neverblink.eu/ontologies/llm-kg/methods#graphRAG http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#graphRAG http://www.w3.org/2000/01/rdf-schema#label GraphRAG https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning http://www.w3.org/2000/01/rdf-schema#comment This method proposes and evaluates representing Knowledge Graphs using programming language (Python) code, both statically and dynamically. This representation is then used to either prompt or fine-tune Large Language Models, aiming to deeply integrate KG structures and semantics into LLM representations. The goal is to enhance LLM multi-hop reasoning by enabling the LLM to effectively represent and process knowledge from both its natural language understanding and the structured KG input in a synergistic manner. https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning http://www.w3.org/2000/01/rdf-schema#label Knowledge Graph Programming Language Representation for LLM Reasoning https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa http://www.w3.org/2000/01/rdf-schema#label Nie et al. 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