2 papers
cs.LG2026
Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection
Chunyu Wei, Siyuan He, Yu Wang +7
Graph anomaly detection (GAD) is crucial in applications like fraud detection and cybersecurity. Despite recent advancements using graph neural networks (GNNs), two major challenge…
cs.CR2024
Across-Platform Detection of Malicious Cryptocurrency Transactions via Account Interaction Learning
Zheng Che, Meng Shen, Zhehui Tan +6
With the rapid evolution of Web3.0, cryptocurrency has become a cornerstone of decentralized finance. While these digital assets enable efficient and borderless financial transacti…