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Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining


Oct 16, 2021
Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen


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Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics


Jul 31, 2019
Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson

* 7 pages, Tutorial in the Anomaly Detection in Finance Workshop at the 25th SIGKDD Conference on Knowledge Discovery and Data Mining 

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


Nov 30, 2018
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl

* NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, Montreal, Canada 

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