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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

Showing 101125 of 156 papers

TitleStatusHype
Feature-Rich Networks for Knowledge Base Completion0
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
Do LLMs Really Adapt to Domains? An Ontology Learning PerspectiveCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Lattice-preserving ALC ontology embeddings with saturationCode0
Scalable knowledge base completion with superposition memoriesCode0
Fact Discovery from Knowledge Base via Facet DecompositionCode0
FALCON: Scalable Reasoning over Inconsistent ALC OntologiesCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Scene Graph Prediction with Limited LabelsCode0
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
Ranking vs. Classifying: Measuring Knowledge Base Completion QualityCode0
Modeling relation paths for knowledge base completion via joint adversarial trainingCode0
Modeling Paths for Explainable Knowledge Base CompletionCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Modeling Relation Paths for Representation Learning of Knowledge BasesCode0
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