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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 81–90 of 156 papers

TitleStatusHype
Learning from positive and unlabeled data: a surveyCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Modeling relation paths for knowledge base completion via joint adversarial trainingCode0
Commonsense Knowledge Base Completion and Generation—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
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