Coarsening effects on k-partite network classification

Coarsening effects on k-partite network classification

Abstract The growing data size poses challenges for storage and computational processing time in semi-supervised models, making their practical application difficult; researchers have explored the use of reduced network versions as a potential solution. Real-world networks contain diverse types of v...

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Bibliographic Details
Main Authors: Paulo Eduardo Althoff, Alan Demétrius Baria Valejo, Thiago de Paulo Faleiros
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Applied Network Science
Subjects:
Network semi-supervised learning
Network coarsening
Heterogeneous network
Online Access:https://doi.org/10.1007/s41109-023-00606-y

Internet

https://doi.org/10.1007/s41109-023-00606-y

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