Wave propagation problems are typically formulated as partial differenti...
Few-shot learning (FSL), which aims to classify unseen classes with few
...
The stability and convergence analysis of high-order numerical approxima...
Due to the superior performance of Graph Neural Networks (GNNs) in vario...
Recent studies have shown that GNNs are vulnerable to adversarial attack...
Recent studies have shown that graph convolution networks (GCNs) are
vul...
This paper aims at studying the difference between Ritz-Galerkin (R-G) m...