Graph neural networks induced by concept lattices for classification

DOI10.1016/j.ijar.2023.01.001MaRDI QIDQ6157222

Wei-Zhi Wu, Ming-Wen Shao, Zhiyong Hu, Huan Liu

Publication date: 20 June 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

classificationconcept latticegraph neural networks

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Editorial. Uncertainty and three-way decision in data science ⋮ Approximating fuzzy relation equations through concept lattices

Cites Work

• Logistic regression. A self-learning text. With contributions by Erica Rihl Pryor.
• L-concept lattices with positive and negative attributes: modeling uncertainty and reduction of size
• A graph approach for fuzzy-rough feature selection
• Three-way granular computing, rough sets, and formal concept analysis
• A heuristic concept construction approach to collaborative recommendation
• On Neural Network Architecture Based on Concept Lattices
• RESTRUCTURING LATTICE THEORY: AN APPROACH BASED ON HIERARCHIES OF CONCEPTS
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