BTCGraphGuard applies Graph Neural Networks to illicit Bitcoin transaction detection. We evaluated more than test accuracy, measuring how well each model preserves graph properties.
We introduced a graph-property preservation metric and found that it strongly correlates with model performance. The repository contains the implementation, and the accompanying paper describes the method and experiments in detail.