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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 61–70 of 156 papers

TitleStatusHype
Projected Canonical Decomposition for Knowledge Base Completion—0
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph ReasoningCode0
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases—0
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation—0
Distributional Negative Sampling for Knowledge Base Completion—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
Meta Reasoning over Knowledge Graphs—0
Modeling Paths for Explainable Knowledge Base CompletionCode0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Learning Attention-based Embeddings for Relation Prediction in Knowledge GraphsCode0
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