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sub:assertion {
  <https://doi.org/10.48550/arXiv.2412.04690> dct:title "LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#LLMAlign> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#AttrGNN> , <https://neverblink.eu/ontologies/llm-kg/methods#BERTINT> , <https://neverblink.eu/ontologies/llm-kg/methods#ChatEA> , <https://neverblink.eu/ontologies/llm-kg/methods#DERA> , <https://neverblink.eu/ontologies/llm-kg/methods#DERAR> , <https://neverblink.eu/ontologies/llm-kg/methods#GCNAlign> , <https://neverblink.eu/ontologies/llm-kg/methods#HMAN> , <https://neverblink.eu/ontologies/llm-kg/methods#LLMEA> , <https://neverblink.eu/ontologies/llm-kg/methods#TEA> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#AttrGNN> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "AttrGNN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#BERTINT> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "BERT-INT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ChatEA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ChatEA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#DERA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "DERA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#DERAR> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "DERA-R" .
  <https://neverblink.eu/ontologies/llm-kg/methods#GCNAlign> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GCN-Align" .
  <https://neverblink.eu/ontologies/llm-kg/methods#HMAN> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "HMAN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LLMAlign> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "LLM-Align is a three-stage framework that leverages Large Language Models (LLMs) to infer entity alignments across Knowledge Graphs (KGs). It employs heuristic methods for selecting informative attributes and relations to construct specific prompts for LLMs and utilizes a multi-round voting mechanism to mitigate hallucination and positional bias, thereby enhancing the accuracy and reliability of KG completion by identifying equivalence facts." ;
    rdfs:label "LLM-Align" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#LLMEA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "LLMEA" .
  <https://neverblink.eu/ontologies/llm-kg/methods#TEA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TEA" .
}
sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2412.04690> .
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