Overview of current literature in FFD.

Overview of current literature in FFD.

<div><p>Financial fraud detection (FFD) is crucial for ensuring the safety and efficiency of financial transactions. This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud detection using Bidirectional L...

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Bibliographic Details
Main Author: Xiangting Shi (21439579) (author)
Other Authors: Xiaochen Wang (235611) (author), Yakang Zhang (20598123) (author), Xiaoyi Zhang (577299) (author), Manning Yu (20598129) (author), Lihao Zhang (10881342) (author)
Published: 2025
Subjects:
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
original architecture aiming
approach enhances comparison
492 fraud instances
two reliable datasets
advanced feature extraction
1 million transactions
scale datasets
feature selection
transactions dataset
financial transactions
807 transactions
term memory
rmgacnet ),
networks combined
handling large
findings indicate
f1 score
existing methods
european cardholder
contains 284
classification algorithms
cis dataset
article presents
9770 measures
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