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Knowledge Base Completion

Knowledge base completion is the task which automatically infers missing facts by reasoning about the information already present in the knowledge base. A knowledge base is a collection of relational facts, often represented in the form of "subject", "relation", "object"-triples.

Papers

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Showing 26–50 of 156 papers

TitleStatusHype
Time in a Box: Advancing Knowledge Graph Completion with Temporal ScopesCode0
Scalable knowledge base completion with superposition memoriesCode0
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
Knowledge Base Completion Meets Transfer LearningCode1
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well—0
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
Ranking vs. Classifying: Measuring Knowledge Base Completion QualityCode0
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings—0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
Association Rules Enhanced Knowledge Graph Attention Network—0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Continuous and Interactive Factual Knowledge Learning in Verification Dialogues—0
Explaining Neural Matrix Factorization with Gradient RollbackCode1
A Survey on Graph Neural Networks for Knowledge Graph Completion—0
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
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