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Unlike most existing classical graph kernels, the proposed aegk kernels can simultaneously capture both global and local structural characteristics through the quantum shannon. In this work, we develop a family of aligned entropic graph kernels (aegk) for graph classification. In this work, we develop a family of aligned entropic graph kernels (aegk) for graph classification.
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