As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

In 2025 Artprice successfully integrated all the key tools of its proprietary AI (Intuitive Artmarket®) into its internal ...

There are various ways to work together in a network based on Windows 11. The simplest is to set up a shared workgroup, a kind of team of computers with equal rights. The workgroup in Windows 11 ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...