Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAiCg-PfpbbI-pTpIRZSlXSq-8rJiRNFUSaUVyTag74oM/assertion>. }
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- arXiv.2502.03715 type Entity assertion.
- ThinkOnGraph type Workflow assertion.
- CKE type Workflow assertion.
- KGAT type Workflow assertion.
- KGCL type Workflow assertion.
- KGIN type Workflow assertion.
- LightGCN type Workflow assertion.
- GreaseLM type Workflow assertion.
- CKGLLMA type Workflow assertion.
- ConfidenceAwareExplanationGeneration type Workflow assertion.
- ConfidenceAwareMOEMessagePropagation type Workflow assertion.
- DualViewTwoStepContrastiveLearning type Workflow assertion.
- KGCN type Workflow assertion.
- KPRN type Workflow assertion.
- LKPNR type Workflow assertion.
- LLMbasedSubgraphAugmenter type Workflow assertion.
- RenEtAl2024KnowledgeRationalization type Workflow assertion.
- SGL type Workflow assertion.
- SimGCL type Workflow assertion.
- XSimGCL type Workflow assertion.
- LightGCN label "LightGCN" assertion.
- SGL label "SGL" assertion.
- CKE label "CKE" assertion.
- KGAT label "KGAT" assertion.
- KGCL label "KGCL" assertion.
- KGIN label "KGIN" assertion.
- GreaseLM label "GreaseLM" assertion.
- CKGLLMA label "Confidence-aware KG-based Recommendation Framework with LLM Augmentation (CKG-LLMA)" assertion.
- ConfidenceAwareExplanationGeneration label "Confidence-aware Explanation Generation" assertion.
- ConfidenceAwareMOEMessagePropagation label "Confidence-aware MOE Message Propagation" assertion.
- DualViewTwoStepContrastiveLearning label "Dual-view Two-step Contrastive Learning" assertion.
- KGCN label "KGCN" assertion.
- KPRN label "KPRN" assertion.
- LKPNR label "LKPNR" assertion.
- LLMbasedSubgraphAugmenter label "LLM-based Subgraph Augmenter" assertion.
- RenEtAl2024KnowledgeRationalization label "RenEtAl2024KnowledgeRationalization" assertion.
- SimGCL label "SimGCL" assertion.
- ThinkOnGraph label "Think-on-graph" assertion.
- XSimGCL label "XSimGCL" assertion.
- LLMbasedSubgraphAugmenter comment "This method uses LLMs with specific multi-view prompts (User-view and Item-view) to refine and augment extracted knowledge subgraphs. Its primary goal is to enrich KGs by adding or deleting triplets, directly contributing to KG construction and quality improvement." assertion.
- ConfidenceAwareMOEMessagePropagation 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." assertion.
- CKGLLMA 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." assertion.
- ConfidenceAwareExplanationGeneration 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." assertion.
- DualViewTwoStepContrastiveLearning comment "This method constructs a dual-view contrastive learning framework, combining differentiable KG augmentation and interaction graph enhancement. Its aim is to learn robust user and item representations by integrating knowledge from both original KGs and LLM-augmented data through self-supervised signals." assertion.
- ConfidenceAwareExplanationGeneration subject KGEnhancedLLMInterpretability assertion.
- LLMbasedSubgraphAugmenter subject LLMAugmentedKGConstruction assertion.
- ConfidenceAwareMOEMessagePropagation subject SynergizedKnowledgeRepresentation assertion.
- DualViewTwoStepContrastiveLearning subject SynergizedKnowledgeRepresentation assertion.
- CKGLLMA subject SynergizedReasoning assertion.
- arXiv.2502.03715 title "Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models" assertion.
- arXiv.2502.03715 describes CKGLLMA assertion.
- arXiv.2502.03715 describes ConfidenceAwareExplanationGeneration assertion.
- arXiv.2502.03715 describes ConfidenceAwareMOEMessagePropagation assertion.
- arXiv.2502.03715 describes DualViewTwoStepContrastiveLearning assertion.
- arXiv.2502.03715 describes LLMbasedSubgraphAugmenter assertion.
- arXiv.2502.03715 discusses ThinkOnGraph assertion.
- arXiv.2502.03715 discusses CKE assertion.
- arXiv.2502.03715 discusses KGAT assertion.
- arXiv.2502.03715 discusses KGCL assertion.
- arXiv.2502.03715 discusses KGIN assertion.
- arXiv.2502.03715 discusses LightGCN assertion.
- arXiv.2502.03715 discusses GreaseLM assertion.
- arXiv.2502.03715 discusses KGCN assertion.
- arXiv.2502.03715 discusses KPRN assertion.
- arXiv.2502.03715 discusses LKPNR assertion.
- arXiv.2502.03715 discusses RenEtAl2024KnowledgeRationalization assertion.
- arXiv.2502.03715 discusses SGL assertion.
- arXiv.2502.03715 discusses SimGCL assertion.
- arXiv.2502.03715 discusses XSimGCL assertion.
- LLMbasedSubgraphAugmenter hasTopCategory LLMAugmentedKG assertion.
- CKGLLMA hasTopCategory SynergizedLLMKG assertion.
- ConfidenceAwareMOEMessagePropagation hasTopCategory SynergizedLLMKG assertion.
- DualViewTwoStepContrastiveLearning hasTopCategory SynergizedLLMKG assertion.
- ConfidenceAwareExplanationGeneration hasTopCategory KGEnhancedLLM assertion.