A GCN-GRU hybrid achieved 0.9807 AUC-ROC on Bitcoin mixing transaction detection, reportedly outperforming all baselines, though evidence lacks error bars and the graph is a feature-similarity graph rather than the transaction network.
Journal of Current Research in Blockchain 1(1), 70 –90 (2024)
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Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions
A GCN-GRU hybrid achieved 0.9807 AUC-ROC on Bitcoin mixing transaction detection, reportedly outperforming all baselines, though evidence lacks error bars and the graph is a feature-similarity graph rather than the transaction network.