2018

Scalable Graph Learning for Anti-Money Laundering: A First Look

Weber, Mark, Chen, Jie, Suzumura, Toyotaro et al.

Understand

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" in a human trafficking industry enslaving an estimated 40 million people.

These nefarious industries rely on sophisticated money laundering schemes to operate.
Despite tremendous resources dedicated to anti-money laundering (AML) only a tiny fraction of illicit activity is prevented.
The research community can help.

Built on

Index compression through document reordering
D. Blandford and G. Blelloch · 2002
Earlier work this paper cites.
World bank study shows how anti-money laundering rules hurt the poor
Daniel J. Mitchell · 2012
Earlier work this paper cites.
Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2014
Earlier work this paper cites.
Ordering heuristics for parallel graph coloring
William Hasenplaugh, Tim Kaler, Tao B. Schardl, and Charles E. Leiserson · 2014
Earlier work this paper cites.
Global anti-money laundering survey 2014, 2014
KMPG · 2014
Earlier work this paper cites.
Smaller and faster: Parallel processing of compressed graphs with ligra+
Julian Shun, Laxman Dhulipala, and Guy E. Blelloch · 2015
Earlier work this paper cites.
Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
Earlier work this paper cites.

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Then

Commonwealth bank offers to pay record fine in laundering case, June 2018
BBC · 2018
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Ransomware payments in the bitcoin ecosystem
Original
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