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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 121–130 of 156 papers

TitleStatusHype
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Feature-Rich Networks for Knowledge Base Completion—0
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network ApproachCode0
Joint Matrix-Tensor Factorization for Knowledge Base InferenceCode0
Knowledge Base Completion: Baselines Strike Back—0
An Interpretable Knowledge Transfer Model for Knowledge Base Completion—0
Improving Neural Knowledge Base Completion with Cross-Lingual Projections—0
A survey of embedding models of entities and relationships for knowledge graph completionCode0
Modeling Relational Data with Graph Convolutional NetworksCode1
Compositional Learning of Relation Path Embedding for Knowledge Base Completion—0
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