Nanopublications

@prefix this: <https://w3id.org/np/RAXmcixPmGJz02KWq15-tTrIU-9kMsMdjoCTv7lZy4h_o> .
@prefix sub: <https://w3id.org/np/RAXmcixPmGJz02KWq15-tTrIU-9kMsMdjoCTv7lZy4h_o/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .

sub:Head {
  this: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2405.14170> dct:title "Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#LlmDa> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#GptNeoX> , <https://neverblink.eu/ontologies/llm-kg/methods#Llama27bCoh> , <https://neverblink.eu/ontologies/llm-kg/methods#Mixtral8x7BCoH> , <https://neverblink.eu/ontologies/llm-kg/methods#Ppt> , <https://neverblink.eu/ontologies/llm-kg/methods#ReGcn> , <https://neverblink.eu/ontologies/llm-kg/methods#ReNet> , <https://neverblink.eu/ontologies/llm-kg/methods#TLogic> , <https://neverblink.eu/ontologies/llm-kg/methods#TiRgn> , <https://neverblink.eu/ontologies/llm-kg/methods#Vicuna7bCoh> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#GptNeoX> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GPT-NeoX" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Llama27bCoh> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Llama-2-7b-CoH" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LlmDa> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "LLM-DA proposes a unified framework where LLMs act as agents to analyze historical data, generate temporal logical rules, and dynamically update these rules based on current events within Temporal Knowledge Graphs (TKGs). The method then synergizes these LLM-derived rules with traditional graph-based reasoning (e.g., GNNs) to conduct interpretable and accurate Temporal Knowledge Graph Reasoning (TKGR). This constitutes a combined reasoning approach where LLMs actively interact with and enhance the KG reasoning process." ;
    rdfs:label "Large Language Models-guided Dynamic Adaptation (LLM-DA)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#Mixtral8x7BCoH> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Mixtral-8x7B-CoH" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Ppt> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "PPT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ReGcn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RE-GCN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ReNet> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RE-NET" .
  <https://neverblink.eu/ontologies/llm-kg/methods#TLogic> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TLogic" .
  <https://neverblink.eu/ontologies/llm-kg/methods#TiRgn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TiRGN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Vicuna7bCoh> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Vicuna-7b-CoH" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2405.14170> .
}

sub:pubinfo {
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    npx:hasNanopubType <https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult> ;
    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2405.14170" .
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