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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
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Knowledge Base Completion Meets Transfer LearningCode1
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
Knowledge Base Completion for Constructing Problem-Oriented Medical RecordsCode1
Tensor Decompositions for temporal knowledge base completionCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Modeling Relational Data with Graph Convolutional NetworksCode1
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
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
Instance-based Learning for Knowledge Base CompletionCode0
mOKB6: A Multilingual Open Knowledge Base Completion BenchmarkCode0
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
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion0
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well0
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
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections0
Ranking vs. Classifying: Measuring Knowledge Base Completion QualityCode0
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
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