Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks
This work proposes a method for refining heuristic-obtained clusters by grounding the authors' clustering on contrastive embeddings yielded by graph neural networks, and releases a publicly available dataset of Bitcoin transaction graphs containing a substantial number of clusters.
Hugo Schnoering, Roman Bresson, M. Vazirgiannis
· 0 citations