Quarterly journal published in SPbPU
and edited by prof. Peter Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
BANKING FRAUD DETECTION USING GRAPH NEURAL NETWORKS

A.I. Sergadeeva, D.S. Lavrova
Peter the Great St.Petersburg Polytechnic University
Russia, St.Petersburg

Annotation: This paper proposes the application of graph neural networks to detect bank fraud. Financial transactions are represented in the form of a graph, and the use of graph neural networks allows the detection of transactions characteristic of fraudulent schemes. Experimental results demonstrate the promise of the proposed approach.
Keywords: Graph Neural Networks, Bank Fraud, Anomaly Detection, Convolutional Neural Networks, Information Security, Financial Data Analysis.
Pages 112-122