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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

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Showing 91–100 of 156 papers

TitleStatusHype
Causal Lifting and Link Prediction—0
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion—0
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space—0
Learning Conceptual Space Representations of Interrelated Concepts—0
Towards a Continuous Knowledge Learning Engine for Chatbots—0
Learning Multi-Relational Semantics Using Neural-Embedding Models—0
Learning Relation Representations from Word Representations—0
Link Prediction using Embedded Knowledge Graphs—0
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs—0
Meta Reasoning over Knowledge Graphs—0
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