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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
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Learning Attention-based Embeddings for Relation Prediction in Knowledge GraphsCode0
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
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