https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0/Head https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0/assertion https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0/provenance https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0/pubinfo https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA6OLbvx3KxmTsgne91YIoGYUaAQc2Y1rhoyB4HrjFyN0/assertion https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/dc/terms/title Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#LiEtAl2024KnowledgeDistillationForTKGRWithLLMs https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#BKD https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#FitNet https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#RKD https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#TADistMult https://doi.org/10.48550/arXiv.2601.00202 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#TTransE https://doi.org/10.48550/arXiv.2601.00202 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#BKD http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#BKD http://www.w3.org/2000/01/rdf-schema#label Classical Knowledge Distillation (BKD) https://neverblink.eu/ontologies/llm-kg/methods#FitNet http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#FitNet http://www.w3.org/2000/01/rdf-schema#label FitNet https://neverblink.eu/ontologies/llm-kg/methods#LiEtAl2024KnowledgeDistillationForTKGRWithLLMs http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion https://neverblink.eu/ontologies/llm-kg/methods#LiEtAl2024KnowledgeDistillationForTKGRWithLLMs http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#LiEtAl2024KnowledgeDistillationForTKGRWithLLMs http://www.w3.org/2000/01/rdf-schema#comment This method proposes a two-stage knowledge distillation framework where LLMs act as teacher models to transfer structural and temporal reasoning capabilities to lightweight student models. 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