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sub:assertion {
  <https://doi.org/10.48550/arXiv.2511.17467> dct:title "PersonaAgent with GraphRAG: Community-Aware Knowledge Graphs for Personalized LLM";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#PersonaAgentWithGraphRAG>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#MemBank>,
      <https://neverblink.eu/ontologies/llm-kg/methods#ReAct>, <https://neverblink.eu/ontologies/llm-kg/methods#ZhangEtAl2024PersonaAgent>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#MemBank> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "MemBank" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#PersonaAgentWithGraphRAG> dct:subject
      <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "This framework enhances Large Language Models (LLMs) by integrating Knowledge Graphs (KGs) to enable personalized AI agents. The KG stores user interaction histories and community patterns, which a GraphRAG mechanism then retrieves and synthesizes to dynamically generate context-rich prompts for the LLM during its inference stage, thereby improving personalized content generation and decision-making.";
    rdfs:label "PersonaAgent with GraphRAG";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
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    rdfs:label "ReAct" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ZhangEtAl2024PersonaAgent> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "PersonaAgent (Zhang et al. 2024)" .
}

sub:provenance {
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    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2511.17467> .
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