Single-cell biology has been transformed over the past decade by the ability to measure gene expression in thousands of ...

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 ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.

Researchers at the University at Buffalo, University of Stuttgart, and IBM Research published “SI-GT: Fast Interconnect Signal Integrity Analysis For Integrated Circuit Design Via Graph Transformers.” ...