https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM/Head https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM/assertion https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM/provenance https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM/pubinfo https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAiyzaAhj15aaB48dhLqANMihGy8h7Z3H7fMC6x1oiwZM/assertion https://doi.org/10.48550/arXiv.2402.11804 http://purl.org/dc/terms/title LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs https://doi.org/10.48550/arXiv.2402.11804 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#Prolink https://doi.org/10.48550/arXiv.2402.11804 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Llama2KGReasoning https://doi.org/10.48550/arXiv.2402.11804 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Ultra https://doi.org/10.48550/arXiv.2402.11804 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#Llama2KGReasoning http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion https://neverblink.eu/ontologies/llm-kg/methods#Llama2KGReasoning http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Llama2KGReasoning http://www.w3.org/2000/01/rdf-schema#comment This method uses Llama2-7B as a baseline for zero-shot graph reasoning by converting KG queries and subgraphs into textual questions. The LLM attempts to infer missing facts directly from the textual representation for KG completion. https://neverblink.eu/ontologies/llm-kg/methods#Llama2KGReasoning http://www.w3.org/2000/01/rdf-schema#label Llama2 for KG Reasoning https://neverblink.eu/ontologies/llm-kg/methods#Llama2KGReasoning https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG https://neverblink.eu/ontologies/llm-kg/methods#Prolink http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion https://neverblink.eu/ontologies/llm-kg/methods#Prolink http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Prolink http://www.w3.org/2000/01/rdf-schema#comment PROLINK is a novel framework designed for low-resource inductive reasoning across arbitrary KGs. 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