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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 101–110 of 156 papers

TitleStatusHype
Mining Commonsense Facts from the Physical World—0
Mining Inference Formulas by Goal-Directed Random Walks—0
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion—0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings—0
Association Rules Enhanced Knowledge Graph Attention Network—0
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search—0
Neighborhood Mixture Model for Knowledge Base Completion—0
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