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Knowledge Graph Completion
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Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing
Real-World Deployment of a Lane Change Prediction Architecture Based on Knowledge Graph Embeddings and Bayesian Inference
Rethinking Regularization Methods for Knowledge Graph Completion
GenIC: An LLM-Based Framework for Instance Completion in Knowledge Graphs
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling
ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph Completion
Prompted Meta-Learning for Few-shot Knowledge Graph Completion
Soft Reasoning Paths for Knowledge Graph Completion
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
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
DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Knowledge Graph Completion with Mixed Geometry Tensor Factorization
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context
Comparison of Metadata Representation Models for Knowledge Graph Embeddings
MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts
LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations
Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation
Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
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