Abstract: The continuous growth of cyber threats needs sophisticated and adaptive defensive systems capable of proactively detecting malicious activity across complicated network architectures. This ...

Abstract: Amid the era of rapid integration of Graph Neural Networks (GNNs) into diverse applications, such as anomaly detection in heterogeneous graphs, the pursuit of interpretable and dependable ...