Research Journal of Engineering and Technology

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2321-581X (Online)
0976-2973 (Print)


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Next-Gen Financial Fraud and Money Laundering Detection Using Real and Simulated Datasets: A Comparative Study of Machine Learning, Deep Learning, and Graph Neural Networks (GNNs)

Author(s): Reshma Rajesh Sawant, Srijan Kumar

Email(s): srijankumarshrivastava@gmail.com

DOI: 10.52711/2321-581X.2025.00010

Address: Reshma Rajesh Sawant1, Srijan Kumar2*
1Master’s in Business Analytics, University of Hartford, Connecticut, USA.
2Department Of Mechanical Engineering Bhilai Institute of Technology, Durg, India.
*Corresponding Author

Published In:   Volume - 16,      Issue - 3,     Year - 2025


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Cite this article:
Reshma Rajesh Sawant, Srijan Kumar. Next-Gen Financial Fraud and Money Laundering Detection Using Real and Simulated Datasets: A Comparative Study of Machine Learning, Deep Learning, and Graph Neural Networks (GNNs). Research Journal of Engineering and Technology. 2025; 16(3):108-4. doi: 10.52711/2321-581X.2025.00010

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Research Journal of Engineering and Technology (RJET) is an international, peer-reviewed, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology. Viz. Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Telecommunication Engineering, Computer Engineering, Chemical Engineering, Biotechnology, Information Technology, Architecture Engineering etc.

The journal is published every year in last week of March, June, September and December from Raipur.    
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