Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook

2 March 2021

Papers citing "Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook"

4 / 4 papers shown

Title
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 47 4 0 29 May 2024
A Review on Graph Neural Network Methods in Financial Applications Jianian Wang Shenmin Zhang Yanghua Xiao Rui Song AI4TS 29 104 0 27 Nov 2021
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning Chuanqiang Shan Hui Jiao Jie Fu 21 14 0 13 Jul 2021
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 50 183 0 16 Oct 2019