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Triple Classification
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Triple classification aims to judge whether a given triple (h, r, t) is correct or not with respect to the knowledge graph.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
Comparison of Metadata Representation Models for Knowledge Graph Embeddings
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Efficient Relational Context Perception for Knowledge Graph Completion
Efficient support ticket resolution using Knowledge Graphs
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings
Visualization of Knowledge Graphs with Embeddings: an Essay on Recent Trends and Methods
KAAE: Numerical Reasoning for Knowledge Graphs via Knowledge-aware Attributes Learning
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
Detecting text level intellectual influence with knowledge graph embeddings
Resilience in Knowledge Graph Embeddings
Visual Representation Learning Guided By Multi-modal Prior Knowledge
Information for Conversation Generation: Proposals Utilising Knowledge Graphs
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
TransBox: EL++-closed Ontology Embedding
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
Conformalized Answer Set Prediction for Knowledge Graph Embedding
OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
Knowledge Base Embeddings: Semantics and Theoretical Properties
Structural damage detection via hierarchical damage information with volumetric assessment
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