Graph Neural Networks Applied to Money Laundering Detection in Intelligent Information Systems

Silva, I.; Correia, Luiz H. A.; Maziero, Erick Galani

doi:10.1145/3592813.3592912

Proceedings of the XIX Brazilian Symposium on Information Systems 2023

DOI: 10.1145/3592813.3592912

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Graph Neural Networks Applied to Money Laundering Detection in Intelligent Information Systems

I. Silva

Luiz H. A. Correia

Erick Galani Maziero

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2024

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Explainable deep learning model for predicting money laundering transactions

Kute,

Pradhan,

Shukla

et al. 2024

International Journal on Smart Sensing and Intelligent Systems

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Money laundering has been a global issue for decades. The ever-changing technology landscape, digital channels, and regulations make it increasingly difficult. Financial institutions use rule-based systems to detect suspicious money laundering transactions. However, it suffers from large false positives (FPs) that lead to operational efforts or misses on true positives (TPs) that increase the compliance risk. This paper presents a study of convolutional neural network (CNN) to predict money laundering and employs SHapley Additive exPlanations (SHAP) explainable artificial intelligence (AI) method to explain the CNN predictions. The results highlight the role of CNN in detecting suspicious transactions with high accuracy and SHAP’s role in bringing out the rationale of deep learning predictions.

show abstract

Explainable deep learning model for predicting money laundering transactions

Kute,

Pradhan,

Shukla

et al. 2024

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Graph Neural Networks Applied to Money Laundering Detection in Intelligent Information Systems

Cited by 1 publication

References 18 publications

Explainable deep learning model for predicting money laundering transactions

Explainable deep learning model for predicting money laundering transactions

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