Interesting Concept Mining With Concept Lattice Convolutional Networks

Interesting Concept Mining With Concept Lattice Convolutional Networks

The extraction of meaningful conceptual structures is often a critical task in many scientific and engineering disciplines, as it enables a comprehensive analysis of complex data in terms of both context and content. In this paper, we introduce the Concept Lattice Convolutional Network (<inline-f...

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Bibliographic Details
Main Authors: Mohamed Hamza Ibrahim, Rokia Missaoui, Pedro Henrique B. Ruas
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Formal concept analysis
pattern mining
graph convolutional network
message-passing
interestingness measure
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/11027055/
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https://ieeexplore.ieee.org/document/11027055/

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