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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
Feature-Rich Networks for Knowledge Base Completion—0
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph ReasoningCode0
Effective Few-Shot Named Entity Linking by Meta-LearningCode0
Learning from positive and unlabeled data: a surveyCode0
Type-Sensitive Knowledge Base Inference Without Explicit Type SupervisionCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Evaluating Language Models for Knowledge Base CompletionCode0
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervisionCode0
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