Scalable Graph Learning for Anti-Money Laundering: A First Look
Mark Weber(DePaul University), Tao B. Schardl(IBM (United States)), Charles E. Leiserson(IIT@MIT), Aldo Pareja(IBM (United States)), Tengfei Ma, Jie Chen(IBM (United States)), Tim Kaler(IBM (United States)), Hiroki Kanezashi, Toyotaro Suzumura(The University of Tokyo)
Cited by 73
Related Papers
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
|Unknown|2020|1.2k
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
|Proceedings of the AAAI Conference on Artificial Intelligence|2023|300
Detecting recovery of the stratospheric ozone layer
|Nature|2017|295
Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing
|Journal of Grid Computing|2003|171
Medical Text Classification using Convolutional Neural Networks
|PubMed|2017|153