2 papers
cs.LG2026
Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2
Mobile network operators must monitor thousands of heterogeneous network elements across the radio access network and the packet core, each exposing high-dimensional KPI time serie…
cs.LG2026
Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection
Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2
We propose C-MTAD-GAT, an \emph{unsupervised}, \emph{context-aware} graph-attention model for anomaly detection in multivariate time series from mobile networks. C-MTAD-GAT combine…