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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 71–80 of 156 papers

TitleStatusHype
Neural Markov Logic Networks—0
Neural Consciousness FlowCode0
Path Ranking with Attention to Type HierarchiesCode0
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space—0
Scene Graph Prediction with Limited LabelsCode0
Fact Discovery from Knowledge Base via Facet DecompositionCode0
Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Embedding Cardinality Constraints in Neural Link Predictors—0
Learning Relation Representations from Word Representations—0
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceCode0
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