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Neuroroute-GNNRL: A Hybrid Graph Neural and Reinforcement Learning Framework For Dynamic Node Classification and Speed Cover

Neuroroute-GNNRL: A Hybrid Graph Neural and Reinforcement Learning Framework For Dynamic Node Classification and Speed

Open Access
|Apr 2026

Authors

Ravi Prakash Chaturvedi

Department of Computer Science and Applications, Sharda School of Computing Science and Engineering, Greater Noida, India

Yashasvi Makin

Senior Software Engineer, Meta Platform Inc., Bellevue, USA

Mohd Dilshad Ansari

m.dilshadcse@gmail.com

Department of Computer science & Engineering, SRM University Delhi-NCR, Sonepat, India

Annu Mishra

Department of Computer Science and Engineering, Sharda School of Computing Science and Engineering, Greater Noida, India

Deepti Kushwaha

Department of Computer Science and Engineering, Greater Noida Institute of Technology, Greater Noida, India

Kuldeep Chouhan

Department of Computer Science and Applications, Sharda School of Computing Science and Engineering, Greater Noida, India

Rajneesh Kumar Singh

Department of Computer Science and Applications, Sharda School of Computing Science and Engineering, Greater Noida, India
Language: English
Submitted on: Aug 22, 2025
Published on: Apr 7, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Ravi Prakash Chaturvedi, Yashasvi Makin, Mohd Dilshad Ansari, Annu Mishra, Deepti Kushwaha, Kuldeep Chouhan, Rajneesh Kumar Singh, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.