A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models

Z Yuan, Q Sun, H Zhou, M Shao, X Fu - International Journal of Machine …, 2025 - Springer
With the rapid growth of data volumes in real-world applications, anomaly detection has
become a crucial task across various scenarios. Anomalies are generally defined as data …

Three-way unsupervised anomaly detection of sequential patterns

GS Chen, T Chandarasupsang, ZH Zhang… - International Journal of …, 2025 - Springer
Unsupervised anomaly detection of sequential patterns is attractive in various industries.
Compared to methods that rely on prior model assumptions, model-free methods are more …

[PDF][PDF] Dynamic Network Vector Autoregression for Multivariate Time Series Analysis

I Chen, L Evans, A Mitchell, E Walker, R Patel, Z Zhang - researchgate.net
Multivariate time series analysis often requires capturing complex interrelationships
between variables over time. Traditional methods face limitations in effectively modeling …