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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 51–100 of 156 papers

TitleStatusHype
Learning from positive and unlabeled data: a surveyCode0
Modeling Paths for Explainable Knowledge Base CompletionCode0
Modeling Relation Paths for Representation Learning of Knowledge BasesCode0
mOKB6: A Multilingual Open Knowledge Base Completion BenchmarkCode0
Neural Consciousness FlowCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Path Ranking with Attention to Type HierarchiesCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Ranking vs. Classifying: Measuring Knowledge Base Completion QualityCode0
Revisiting Simple Neural Networks for Learning Representations of Knowledge GraphsCode0
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervisionCode0
Scalable knowledge base completion with superposition memoriesCode0
Scene Graph Prediction with Limited LabelsCode0
STransE: a novel embedding model of entities and relationships in knowledge basesCode0
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
Time in a Box: Advancing Knowledge Graph Completion with Temporal ScopesCode0
Traversing Knowledge Graphs in Vector SpaceCode0
Type-Sensitive Knowledge Base Inference Without Explicit Type SupervisionCode0
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base CompletionCode0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph—0
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases—0
Reasoning Over Paths via Knowledge Base Completion—0
Reasoning With Neural Tensor Networks for Knowledge Base Completion—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Relation Induction in Word Embeddings Revisited—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
Knowledge Base Completion: Baselines Strike Back—0
A Survey on Graph Neural Networks for Knowledge Graph Completion—0
Commonsense Knowledge Base Completion—0
Representing Text for Joint Embedding of Text and Knowledge Bases—0
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion—0
Knowledge Base Completion via Coupled Path Ranking—0
Revisiting Evaluation of Knowledge Base Completion Models—0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Knowledge Graphs: The Future of Data Integration and Insightful Discovery—0
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well—0
Revisiting the Task of Scoring Open IE Relations—0
Combining Representation Learning with Logic for Language Processing—0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion—0
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space—0
Learning Conceptual Space Representations of Interrelated Concepts—0
Towards a Continuous Knowledge Learning Engine for Chatbots—0
Learning Multi-Relational Semantics Using Neural-Embedding Models—0
Learning Relation Representations from Word Representations—0
Link Prediction using Embedded Knowledge Graphs—0
Causal Lifting and Link Prediction—0
Meta Reasoning over Knowledge Graphs—0
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