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: This study was conducted on how to optimize the basic design of a cast resin transformer using the scipy method of Python and the permutation with repetition method. All possible design ...
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