AI-Driven Fraud Detection in Financial Transactions with Graph Neural Networks and Anomaly Detection-Reference-Cited by-同舟云学术

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AI-Driven Fraud Detection in Financial Transactions with Graph Neural Networks and Anomaly Detection

Published:2024-04-26 Issue: Volume:193 Page:1-6
ISSN:
Container-title:2024 International Conference on Science Technology Engineering and Management (ICSTEM)
language:
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Author:

Thilagavathi M.¹,Saranyadevi R.²,Vijayakumar N.³,Selvi K.⁴,Anitha L.⁴,Sudharson K.⁵

Affiliation:

1. Sir Theagaraya College,Department of Commerce (A/F),Chennai,India

2. A.M.Jain College,Department of Commerce,Chennai,India

3. B.S.Abdur Rahman Crescent Institute of Science & Technology,Department of Commerce,Chennai,India

4. S.A. Engineering College,Department of MBA,Chennai,India

5. R.M.D. Engineering College,Department of AIML,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560476/10560517/10560838.pdf?arnumber=10560838

Reference10 articles.

1. A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

2. Financial Anti-Fraud Based on Dual-Channel Graph Attention Network;Wei;J. Theor. Appl. Electron. Commer. Res.,2024

3. Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances;Hilal;Expert Systems With Applications,2022

4. An Effective Copyright Management Principle using Intelligent Wavelet Transformation based Water marking Scheme;R;(ACCAI), Chennai, India,2022

5. COVID-19 Identification and Detection from CT-Images using AI Based Ensemble Model;T;(ICSES), Chennai, India,2022

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