https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM/Head https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM/assertion https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM/provenance https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM/pubinfo https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM/assertion https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/dc/terms/title Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#CKGLLMA https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareExplanationGeneration https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareMOEMessagePropagation https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#DualViewTwoStepContrastiveLearning https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#LLMbasedSubgraphAugmenter https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#CKE https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#GreaseLM https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KGAT https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KGCL https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KGCN https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KGIN https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KPRN https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#LKPNR https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#LightGCN https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#RenEtAl2024KnowledgeRationalization https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#SGL https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#SimGCL https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph https://doi.org/10.48550/arXiv.2502.03715 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#XSimGCL https://doi.org/10.48550/arXiv.2502.03715 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#CKE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#CKE http://www.w3.org/2000/01/rdf-schema#label CKE https://neverblink.eu/ontologies/llm-kg/methods#CKGLLMA http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#CKGLLMA http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#CKGLLMA http://www.w3.org/2000/01/rdf-schema#comment CKG-LLMA is a novel framework that integrates LLMs and KGs bidirectionally. It uses LLMs to augment KGs and then leverages the enriched KGs to guide LLMs in generating explanations, combining multiple components for a unified reasoning process in recommendations. https://neverblink.eu/ontologies/llm-kg/methods#CKGLLMA http://www.w3.org/2000/01/rdf-schema#label Confidence-aware KG-based Recommendation Framework with LLM Augmentation (CKG-LLMA) https://neverblink.eu/ontologies/llm-kg/methods#CKGLLMA https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareExplanationGeneration http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInterpretability https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareExplanationGeneration http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareExplanationGeneration http://www.w3.org/2000/01/rdf-schema#comment This method uses a two-step chain-of-thought reasoning procedure, guided by the augmented KG information and confidence scores, to instruct LLMs. It enables LLMs to generate realistic and informative natural language explanations for recommendations, thereby enhancing interpretability. https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareExplanationGeneration http://www.w3.org/2000/01/rdf-schema#label Confidence-aware Explanation Generation https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareExplanationGeneration https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareMOEMessagePropagation http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareMOEMessagePropagation http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareMOEMessagePropagation http://www.w3.org/2000/01/rdf-schema#comment This mechanism introduces a learnable edge confidence for LLM-enhanced triplets, utilizing a Mixture-of-Experts layer to filter noisy information and effectively aggregate knowledge. It represents knowledge from both LLM augmentations and KG structures in a unified and robust manner. https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareMOEMessagePropagation http://www.w3.org/2000/01/rdf-schema#label Confidence-aware MOE Message Propagation https://neverblink.eu/ontologies/llm-kg/methods#ConfidenceAwareMOEMessagePropagation https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG https://neverblink.eu/ontologies/llm-kg/methods#DualViewTwoStepContrastiveLearning http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation https://neverblink.eu/ontologies/llm-kg/methods#DualViewTwoStepContrastiveLearning http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#DualViewTwoStepContrastiveLearning http://www.w3.org/2000/01/rdf-schema#comment This method constructs a dual-view contrastive learning framework, combining differentiable KG augmentation and interaction graph enhancement. 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