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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 110 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
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