Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...
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 ...
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 ...
Herbalife (NYSE:HLF) markets a portfolio centred on nutrition and personal care, including protein shakes, vitamins, energy ...
The Green party has made gains under its leader – but there is also uncertainty ahead ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized vulnerabilities. By combining cryptographic policy enforcement, third ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Abstract: This paper presents the development and validation of a computation model of a cascaded multilevel power inverter as an initial step toward creating a high-fidelity digital twin. A ...
Educational equity is fundamental to global development, promoting social mobility and economic advancement (Jurado de los Santos et al., 2020). Education systems often mirror and worsen existing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results