LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering

25 October 2022

Papers citing "LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering"

6 / 6 papers shown

Title
Towards Collaborative Anti-Money Laundering Among Financial Institutions Zhihua Tian Yuan Ding Xiang Yu Enchao Gong Jian Liu Kui Ren 54 0 0 27 Feb 2025
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 38 9 0 01 Nov 2024
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
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences Piotr Skalski David Sutton Stuart Burrell Iker Perez Jason Wong AI4TS 34 2 0 03 Jan 2024
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman Jovan Blanuvsa Luc von Niederhäusern Béni Egressy Andreea Anghel Kubilay Atasu 42 37 0 22 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 25 15 0 20 Jun 2023