Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection 事件

Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection arXiv:2605.29526v1 Announce Type: cross Abstract: Ever-evolving transaction patterns have significantly hindered anomaly detection on emerging cryptocurrency blockchains due to the vast number of addresses and diverse anomalous behaviors. Recently, advanced Graph Anomaly Detection (GAD) approaches applied to blockchains have faced two critical challenges: \textit{adversarial pattern evolution by malicious actor