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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 3140 of 156 papers

TitleStatusHype
Interpreting Embedding Models of Knowledge Bases: A Pedagogical ApproachCode0
FALCON: Scalable Reasoning over Inconsistent ALC OntologiesCode0
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
DELE: Deductive EL^++ Embeddings for Knowledge Base CompletionCode0
Fact Discovery from Knowledge Base via Facet DecompositionCode0
Do LLMs Really Adapt to Domains? An Ontology Learning PerspectiveCode0
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph ReasoningCode0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
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