Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: In recent years, deep learning-based methods have attracted much attention and achieved remarkable results for intelligent fault diagnosis of rotating machinery. However, in many actual ...

Integer overflow occurs during calculation size of buffer for result of permutation in rb_ary_permutation function of Ruby programming language. Properly choosen length of Array for which permutation ...