A sparse tensor generator with efficient feature extraction

Sparse tensor operations are increasingly important in diverse applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle in sparse tensor research is the lack of large-scale sparse tensor datasets. Another challenge lies in analyzing sparse...

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Bibliographic Details
Main Authors: Tugba Torun, Ameer Taweel, Didem Unat
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2025.1589033/full
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