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 binary image processing, standard Connected Component Labeling (CCL) methods introduce significant computational overhead by indiscriminately processing internal, boundary-isolated ...
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