Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...

Whenever the newest and most competent computer components are released to the public, so are the video games that fully utilize their potential. With hardware manufacturers pivoting their ...

Jake brings two decades of experience with him, having covered major industry events, breaking news, one-on-one interviews, and more. When he's not playing World of Warcraft, he's usually on the hunt ...

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...

The use of machine learning methods for accelerating the design of crystalline materials usually requires manually constructed feature vectors or complex transformation of atom coordinates to input ...