Abstract: Amid the era of rapid integration of Graph Neural Networks (GNNs) into diverse applications, such as anomaly detection in heterogeneous graphs, the pursuit of interpretable and dependable ...

Abstract: In this paper, an efficient CNN model with transfer learning ability is developed for predicting the nonlinear behavior of transistors under large signal stimuli. The CNN consists of ...