期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
卷 56, 期 8, 页码 865-873出版社
PLEIADES PUBLISHING INC
DOI: 10.3103/S0146411622080223
关键词
graph neural networks; bank fraud; anomaly detection; convolutional neural networks; information security; financial data analysis
This study proposes a method for detecting bank fraud based on graph neural networks. Financial transactions are represented in the form of a graph and analyzed with a graph neural network with the goal of detecting transactions typical of fraud schemes. The results of experimental tests indicate the high potential of the proposed approach.
This study proposes a method for detecting bank fraud based on graph neural networks. Financial transactions are represented in the form of a graph and analyzed with a graph neural network with the goal of detecting transactions typical of fraud schemes. The results of experimental tests indicate the high potential of the proposed approach.
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