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)

Reshma Rajesh Sawant; Srijan Kumar

doi:10.52711/2321-581X.2025.00007

Research Journal of Engineering and Technology

ISSN

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.2025.00007

Address: Reshma Rajesh Sawant1, Srijan Kumar2* 1Masters 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 - 2, 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(2):73-9. doi: 10.52711/2321-581X.2025.00007

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DOI: 10.5958/2321-581X