111 citations · 121 across the 3 of their papers we have counts for
3 papers
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
Claudio Bellei, Muhua Xu, Ross Phillips +6
Subgraph representation learning is a technique for analyzing local structures (or shapes) within complex networks. Enabled by recent developments in scalable Graph Neural Networks…
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei, Hussain Alattas, Nesrine Kaaniche
We show that a modification of the first layer of a Graph Convolutional Network (GCN) can be used to effectively propagate label information across neighbor nodes, for binary and m…
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber, Giacomo Domeniconi, Jie Chen +4
Anti-money laundering (AML) regulations play a critical role in safeguarding financial systems, but bear high costs for institutions and drive financial exclusion for those on the…