research
∙
05/04/2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Training and inference with graph neural networks (GNNs) on massive grap...
share
research
∙
10/16/2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Improving the training and inference performance of graph neural network...
research
∙
05/31/2021
Multidimensional Included and Excluded Sums
This paper presents algorithms for the included-sums and excluded-sums p...
research
∙
07/31/2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Anti-money laundering (AML) regulations play a critical role in safeguar...
research
∙
11/30/2018
Scalable Graph Learning for Anti-Money Laundering: A First Look
Organized crime inflicts human suffering on a genocidal scale: the Mexic...
research
∙
04/13/2018
