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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 1120 of 156 papers

TitleStatusHype
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
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