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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 150 of 156 papers

TitleStatusHype
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion0
Extracting triples from dialogues for conversational social agents0
Knowledge Graphs: The Future of Data Integration and Insightful Discovery0
DELE: Deductive EL^++ Embeddings for Knowledge Base CompletionCode0
Do LLMs Really Adapt to Domains? An Ontology Learning PerspectiveCode0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis0
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Evaluating the Knowledge Base Completion Potential of GPT0
Knowledge Base Completion for Long-Tail EntitiesCode0
Predicting affinity ties in a surname network0
Lattice-preserving ALC ontology embeddings with saturationCode0
Evaluating Language Models for Knowledge Base CompletionCode0
Causal Lifting and Link Prediction0
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base CompletionCode0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph0
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion0
mOKB6: A Multilingual Open Knowledge Base Completion BenchmarkCode0
Instance-based Learning for Knowledge Base CompletionCode0
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervisionCode0
FALCON: Scalable Reasoning over Inconsistent ALC OntologiesCode0
Effective Few-Shot Named Entity Linking by Meta-LearningCode0
HEAT: Hyperedge Attention Networks0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling0
Capacity and Bias of Learned Geometric Embeddings for Directed GraphsCode0
Time in a Box: Advancing Knowledge Graph Completion with Temporal ScopesCode0
Scalable knowledge base completion with superposition memoriesCode0
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion0
Knowledge Base Completion Meets Transfer LearningCode1
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well0
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion0
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections0
Ranking vs. Classifying: Measuring Knowledge Base Completion QualityCode0
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
Association Rules Enhanced Knowledge Graph Attention Network0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Continuous and Interactive Factual Knowledge Learning in Verification Dialogues0
Explaining Neural Matrix Factorization with Gradient RollbackCode1
A Survey on Graph Neural Networks for Knowledge Graph Completion0
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
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