Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data without labeled examples, achieving top ...

Researchers have developed a hybrid deep learning architecture combining graph neural networks, Transformers, and variational ...