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.

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...

The group suspended aid distribution after an alleged shooting on Tuesday. Editor's note: This story contains descriptions of graphic violence. Aid distribution through the controversial Gaza ...

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Florida State and Clemson voted to agree on settling their four ongoing lawsuits against the ACC and a new revenue-distribution strategy Tuesday, CBS Sports' Brandon Marcello has confirmed. The ACC ...

As a retired income investor, I focus on high-yield closed-end funds, or CEFs, for consistent monthly distributions and reinvestment discounts to grow my retirement portfolio. Significant 2024 events ...