A puzzle with only three moves may sound simple. In quantum physics, it can still break classical logic. That is the heart of ...

Enterprise software has accumulated forty years of data about business outcomes. It has captured almost none of the reasoning ...

A new class of artificial intelligence models is cutting the time needed to identify promising catalytic materials from weeks ...

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 ...

Android has long been focused on running mobile apps, but in recent years, features aimed at developers and power users have begun pushing its boundaries. One exciting frontier: running full Linux ...

Long noncoding RNAs (lncRNAs) regulate physiological processes via interactions with macromolecules such as miRNAs, proteins, and genes, forming disease-associated regulatory networks. However, ...

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

Voltage estimation plays a key role in ensuring the effective control and reliability of distribution networks. However, traditional machine learning methods often fail to capture the details of the ...