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

Author:

Cardoso Mário1,Saleiro Pedro1,Bizarro Pedro1

Affiliation:

1. Feedzai, Portugal

Funder

Portuguese Foundation for Science and Technology - FCT

Publisher

ACM

Reference28 articles.

1. James Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. In Advances in Neural Information Processing Systems Vol. 24. James Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. In Advances in Neural Information Processing Systems Vol. 24.

2. Ahmad Naser Eddin Jacopo Bono David Aparício David Polido João Tiago Ascensão Pedro Bizarro and Pedro Ribeiro. 2021. Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs. Ahmad Naser Eddin Jacopo Bono David Aparício David Polido João Tiago Ascensão Pedro Bizarro and Pedro Ribeiro. 2021. Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.

3. Zengan Gao . 2009 . Application of Cluster-Based Local Outlier Factor Algorithm in Anti-Money Laundering. In 2009 International Conference on Management and Service Science. 1–4. Zengan Gao. 2009. Application of Cluster-Based Local Outlier Factor Algorithm in Anti-Money Laundering. In 2009 International Conference on Management and Service Science. 1–4.

4. node2vec

5. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems Vol. 30. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems Vol. 30.

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