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Malware Classification Using Dynamic Cluster Adaptive Aggregation Graph Neural Network with Prototypical Loss Function Cover

Malware Classification Using Dynamic Cluster Adaptive Aggregation Graph Neural Network with Prototypical Loss Function

Open Access
|Sep 2026

Authors

D. R. Janardhana

Jdr5414@gmail.com

Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Nitte (Deemed to be University), Bengaluru, India

Jayantkumar A. Rathod

jayantkumarrathod@gmail.com

Department of Computer Science and Engineering, ATME College of Engineering, Mysuru, India

K. Shivanna

Shivannak4phd@gmail.com

Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bengaluru, India

J. Shruthi Shetty

Shruthi.shetty@nmit.ac.in

Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Nitte (Deemed to be University), Bengaluru, India

C. Niranjan Murthy

Nirucs190@gmail.com

Department of Computer Science and Engineering, Sri Krishna Institute of Technology, Bengaluru, India
DOI: https://doi.org/10.2478/cait-2026-0024 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Language: English
Page range: 3 - 24
Submitted on: Dec 16, 2025
Accepted on: Mar 12, 2026
Published on: Sep 9, 2026
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services

© 2026 D. R. Janardhana, Jayantkumar A. Rathod, K. Shivanna, J. Shruthi Shetty, C. Niranjan Murthy, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.