Work

Detecting Anomalies in FinTech: A Graph Neural Network and Feature Selection Perspective

Year: 2025

Type: article

Abstract: The Financial Technology (FinTech) sector has witnessed rapid growth, resulting in increasingly complex and high-volume digital transactions. Although this expansion improves efficiency and accessibility, it also introduces s... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.068733

Authors: Vinh Truong Hoang, Nghia Dinh, Viet-Tuan Le, Kiet Tran-Trung, Bay Nguyen Van, Kittikhun Meethongjan

Institutions: Ho Chi Minh City Open University, Suan Sunandha Rajabhat University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Suan Sunandha Rajabhat University

OpenAlex ID: W4415729669