Shuo Gao

A Mathematical Modeling Framework for Semantic–Temporal Graph Learning in Log Anomaly Detection

System logs provide valuable information for monitoring system states, identifying failures, and detecting anomalous behaviour in large-scale distributed computing systems. However, their unstructured text, complex semantic dependencies, temporal variation, and severe class imbalance limit conventional methods based on...