Author name: Sara Malacarne, Eirik Hoel-H{\o}iseth, Erlend Aune, David Zsolt Biro, Massimiliano Ruocco

arXiv:2604.27172v1 Announce Type: new
Abstract: 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 combines graph attention with …