Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

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A bar graph is a two- or three-dimensional representation of data and is one of the most effective ways of displaying said information in an easy-to-read format. They can also help to highlight trends ...

As the weather warms and many turn their eye toward sun-quenched outdoor living and recreation, a good setup in exterior spaces is a must. This can mean cozy and attractively laid out seating areas, ...

Excel’s dedicated graphing tools allow you to quickly switch between a variety of chart types and customize them once you’ve chosen. A bar graph, or bar chart, is one of the simplest and best ways to ...

Online reviews significantly influence consumer decisions, marketing research shows. But when it comes to visual displays, not all online reviews are equal, and their differences might influence ...

Graph Neural Networks (GNNs) have shown excellent performance on graphs that exhibit strong homophily with respect to the node labels i.e. connected nodes have same labels. However, they perform ...

Abstract: Contrastive learning has recently attracted plenty of attention in deep graph clustering due to its promising performance. However, complicated data augmentations and time-consuming graph ...