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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 51–60 of 156 papers

TitleStatusHype
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
Extracting triples from dialogues for conversational social agents—0
Compositional Vector Space Models for Knowledge Base Completion—0
Knowledge Base Completion via Coupled Path Ranking—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
Generalized Graph Embedding Models—0
Context-aware Path Ranking for Knowledge Base Completion—0
HEAT: Hyperedge Attention Networks—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
Causal Lifting and Link Prediction—0
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