72 citations · 81 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
Claudio Bellei, Muhua Xu, Ross Phillips +6
Subgraph representation learning is a technique for analyzing local structures (or shapes) within complex networks. Enabled by recent developments in scalable Graph Neural Networks…
cs.CY2020★ 6 cited
Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination
Mark Weber, Mikhail Yurochkin, Sherif Botros +1
Algorithmic fairness in lending today relies on group fairness metrics for monitoring statistical parity across protected groups. This approach is vulnerable to subgroup discrimina…
cs.SI2018★ 72 cited
Scalable Graph Learning for Anti-Money Laundering: A First Look
Mark Weber, Jie Chen, Toyotaro Suzumura +6
Organized crime inflicts human suffering on a genocidal scale: the Mexican drug cartels have murdered 150,000 people since 2006, upwards of 700,000 people per year are "exported" i…