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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 31–40 of 156 papers

TitleStatusHype
mOKB6: A Multilingual Open Knowledge Base Completion BenchmarkCode0
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervisionCode0
FALCON: Scalable Reasoning over Inconsistent ALC OntologiesCode0
Effective Few-Shot Named Entity Linking by Meta-LearningCode0
HEAT: Hyperedge Attention Networks—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
Capacity and Bias of Learned Geometric Embeddings for Directed GraphsCode0
Time in a Box: Advancing Knowledge Graph Completion with Temporal ScopesCode0
Scalable knowledge base completion with superposition memoriesCode0
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
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