Nanopublication

ID

https://w3id.org/np/RAQKBbEQ--W2vSHDaZ0LrgiFnCkSkeH3JX7ZrENSNnS4c
Formats

Content

@prefix this: <https://w3id.org/np/RAQKBbEQ--W2vSHDaZ0LrgiFnCkSkeH3JX7ZrENSNnS4c> .
@prefix sub: <https://w3id.org/np/RAQKBbEQ--W2vSHDaZ0LrgiFnCkSkeH3JX7ZrENSNnS4c/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix pav: <http://purl.org/pav/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfg: <http://www.w3.org/2004/03/trix/rdfg-1/> .
@prefix dce: <http://purl.org/dc/elements/1.1/> .
@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: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2403.07311> a prov:Entity;
    dct:title "Knowledge Graph Large Language Model (KG-LLM) for Link Prediction";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphLargeLanguageModel>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Analogy>,
      <https://neverblink.eu/ontologies/llm-kg/methods#CompleX>, <https://neverblink.eu/ontologies/llm-kg/methods#ConGLR>,
      <https://neverblink.eu/ontologies/llm-kg/methods#ConvRot>, <https://neverblink.eu/ontologies/llm-kg/methods#DistMult>,
      <https://neverblink.eu/ontologies/llm-kg/methods#RESCAL>, <https://neverblink.eu/ontologies/llm-kg/methods#TransE>,
      <https://neverblink.eu/ontologies/llm-kg/methods#WsGAT> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Analogy> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "Analogy is a knowledge graph embedding model designed to capture graph structures. It is used as a baseline for comparison against the KG-LLM framework in multi-hop link prediction tasks.";
    rdfs:label "Analogy" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#CompleX> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "CompleX utilizes complex embeddings for entities and relations to capture asymmetric relationships in knowledge graphs. It is used as a baseline for comparison against the KG-LLM framework in multi-hop link prediction tasks.";
    rdfs:label "CompleX" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ConGLR> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "ConGLR is a GNN-based model that leverages context-aware graph representation learning and logical reasoning for improved inductive relation prediction. It is used as a baseline for comparison against the KG-LLM framework.";
    rdfs:label "ConGLR" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ConvRot> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "ConvRot integrates convolutional networks and rotational embeddings to enhance link prediction performance in knowledge graphs. It is used as a GNN-based baseline for comparison against the KG-LLM framework.";
    rdfs:label "ConvRot" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#DistMult> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "DistMult represents relations as diagonal matrices for simplicity and efficiency in knowledge graph embedding. It is used as a baseline for comparison against the KG-LLM framework in multi-hop link prediction tasks.";
    rdfs:label "DistMult" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphLargeLanguageModel>
    a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion>;
    rdfs:comment "The KG-LLM framework proposes a novel approach that converts multi-hop knowledge graph paths into structured natural language Chain-of-Thought prompts. These prompts are then used to instruction fine-tune large language models, incorporating In-Context Learning to enhance their performance in multi-hop link prediction and multi-hop relation prediction tasks, leveraging LLMs to complete missing facts within KGs.";
    rdfs:label "Knowledge Graph Large Language Model (KG-LLM)";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#RESCAL> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "RESCAL is a tensor factorization method used for knowledge graph embedding that captures rich interactions between entities and relations. It is used as a baseline for comparison against the KG-LLM framework in multi-hop link prediction tasks.";
    rdfs:label "RESCAL" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#TransE> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "TransE is a traditional knowledge graph embedding model that represents relationships as translations in the embedding space. It is used as a baseline for comparison against the KG-LLM framework in multi-hop link prediction tasks.";
    rdfs:label "TransE" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#WsGAT> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "wsGAT is a graph attention network model that uses weighted self-attention mechanisms to perform various knowledge graph tasks, including link prediction. It is used as a GNN-based baseline for comparison against the KG-LLM framework.";
    rdfs:label "wsGAT" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent>;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2403.07311> .
}

sub:pubinfo {
  this: dct:created "2026-03-13T16:03:07.317Z"^^xsd:dateTime;
    dct:creator <https://neverblink.eu/ontologies/llm-kg/agent>;
    npx:hasNanopubType <https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult>;
    npx:supersedes <https://w3id.org/np/RAtsoiWc5ZvdO9lft0xqhlYJoPJRdoCN-epHOOm4VSpZE>;
    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2403.07311" .
  
  sub:sig npx:hasAlgorithm "RSA";
    npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB";
    npx:hasSignature "M8A86QxaelEblRjE6EJVb/G181uD5Mr5emikye+XbhLXhmpxa/59PdgCAIpnXlJ5g0iwsfFkcaJQnPsyr+8w7kCG/pll0z1V12nxSRBjWL+zhRSWNdqtuXcEgFfHAlxGhYkg49OI7pNLjwtakobWrRmFfoXD4GodW7vFyMwS3GyBGeUlfmO4D4giKTP/ZRQueUldq5qVBIFSaTc7sEbZV7BeJfFsZMZ2aaQVnjcV6k6SYd6sk2Ml6Y1crMoXuaO93e9/MnyGWiwPvoNAo2PmiR8pMHO42BSg8BYLpoN8wa7bfg0UatTJb++KWzwmrKTuALfNR2cKMrnC921loiVDbg==";
    npx:hasSignatureTarget this:;
    npx:signedBy <https://neverblink.eu/ontologies/llm-kg/agent> .
}