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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 141–150 of 156 papers

TitleStatusHype
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation—0
Predicting affinity ties in a surname network—0
Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Feature-Rich Networks for Knowledge Base Completion—0
Generalized Graph Embedding Models—0
Probabilistic Belief Embedding for Knowledge Base Completion—0
HEAT: Hyperedge Attention Networks—0
Projected Canonical Decomposition for Knowledge Base Completion—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
Improved Knowledge Base Completion by Path-Augmented TransR Model—0
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