Nanopublications

@prefix this: <https://w3id.org/np/RAsDuAsEsfG1aQ0SB7gFC6Nevi-Mw3MPHjSqs6-35VZgo> .
@prefix sub: <https://w3id.org/np/RAsDuAsEsfG1aQ0SB7gFC6Nevi-Mw3MPHjSqs6-35VZgo/> .
@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 {
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2412.00478> dct:title "Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#LlmSEmpoweredNodeImportanceEstimationLenie> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Gcn> , <https://neverblink.eu/ontologies/llm-kg/methods#Geni> , <https://neverblink.eu/ontologies/llm-kg/methods#GraphSAGE> , <https://neverblink.eu/ontologies/llm-kg/methods#Licap> , <https://neverblink.eu/ontologies/llm-kg/methods#LinearRegression> , <https://neverblink.eu/ontologies/llm-kg/methods#MultiLayerPerception> , <https://neverblink.eu/ontologies/llm-kg/methods#PageRank> , <https://neverblink.eu/ontologies/llm-kg/methods#PersonalizedPageRank> , <https://neverblink.eu/ontologies/llm-kg/methods#RandomBasedTripletSamplingStrategy> , <https://neverblink.eu/ontologies/llm-kg/methods#Rgcn> , <https://neverblink.eu/ontologies/llm-kg/methods#Rgtn> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#Gcn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GCN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Geni> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GENI" .
  <https://neverblink.eu/ontologies/llm-kg/methods#GraphSAGE> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GraphSAGE" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Licap> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "LICAP" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LinearRegression> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Linear Regression" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LlmSEmpoweredNodeImportanceEstimationLenie> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGEmbedding> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "LENIE is proposed to address semantic deficiencies in KGs for Node Importance Estimation (NIE). It uses LLMs to generate richer and more precise augmented node descriptions. These descriptions are then encoded into semantic embeddings, enriching the representations of KG entities, which subsequently boost the performance of downstream NIE models." ;
    rdfs:label "LLMs Empowered Node Importance Estimation (LENIE)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#MultiLayerPerception> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "MultiLayer Perception" .
  <https://neverblink.eu/ontologies/llm-kg/methods#PageRank> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "PageRank" .
  <https://neverblink.eu/ontologies/llm-kg/methods#PersonalizedPageRank> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Personalized PageRank" .
  <https://neverblink.eu/ontologies/llm-kg/methods#RandomBasedTripletSamplingStrategy> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Random-based Triplet Sampling Strategy" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Rgcn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RGCN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Rgtn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "RGTN" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2412.00478> .
}

sub:pubinfo {
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    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2412.00478" .
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