Abstract: Graph convolutional neural networks (GCNN) have been widely used in graph learning and related applications. It has been identified that the filters in the state-of-the-art spectral graph ...
Abstract: Electromagnetic compatibility (EMC) of electrical equipment is frequently affected by a lot of aleatory and epistemic uncertainties, which may result in a serious decline in the EMC of ...