In fact, many papers on biological laboratory techniques dominate the list of the most highly cited papers of all time, according to data provided to Nature by the US firm Clarivate, which owns the ...

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Abstract: Graph neural networks (GNNs) face scalability challenges. While recent approaches have adopted pooling strategies inspired by convolutional neural networks (CNNs) to reduce graph size and ...

Abstract: Graph filters are ubiquitous for processing data over graphs. However, most filters obtained from data are point-estimates and may be sensitive to changes in topology or data distributions.

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