https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0/Head https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0/assertion https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0/provenance https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0/pubinfo https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAqjBWeonk6WWSJjEc_2x66nD-24NdonOCoMZVk-S6Wt0/assertion https://doi.org/10.48550/arXiv.2502.13555 http://purl.org/dc/terms/title Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs https://doi.org/10.48550/arXiv.2502.13555 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#DemoGraph https://doi.org/10.48550/arXiv.2502.13555 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#GraphCare https://doi.org/10.48550/arXiv.2502.13555 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#DemoGraph http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction https://neverblink.eu/ontologies/llm-kg/methods#DemoGraph http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#DemoGraph http://www.w3.org/2000/01/rdf-schema#comment DemoGraph proposes a black-box approach where LLMs are tasked with generating knowledge graphs (KGs) from text prompts to perform context-driven graph data augmentation. 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