Abstract: When distribution shifts occur between testing and training graph data, out-of-distribution (OOD) samples undermine the performance of graph neural networks (GNNs). To improve adaptive OOD ...

The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...

FREMONT, Calif.--(BUSINESS WIRE)--VDE Americas and RETC, part of the VDE Group, today introduced the Hail Resiliency Curve (HRC) Test, a groundbreaking test protocol designed to evaluate solar panel ...

Arm Holdings, a major player in semiconductor architecture, has seen increased market share and revenue from their new Armv9 architecture despite economic volatility. Trade wars have impacted ARM's ...

A monthly food distribution at Normal West high school often included staples such as potatoes and apples. A food pantry that serves hundreds of Bloomington-Normal residents each month is ending. One ...

Vertiv has had a recent price dip due to tariff wars and macroeconomic pressure. At a P/E of 69.7, they are at a premium against the industry average of 25-30, but Vertiv's forward P/E is 23.4 which ...

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.

The so-called yield curve has been sending an ominous message about the economy for more than two years, but now it is looking healthier.

The relationship between the 10- and 2-year Treasury yield briefly normalized Wednesday, reversing a classic recession indicator. Following economic news that showed a sharp decline in job openings ...

Imagine you're at a fair, and you see a booth with a giant dartboard. The booth owner challenges you to hit the bullseye. You take your shot, and the dart lands somewhere on the board. Now imagine ...