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 ...

Search patents reveal how AI search systems interpret intent, evaluate content passages, and build brand understanding in ...

Dispersion is an inherent feature of electromagnetic waves. It allows light to behave differently at different wavelengths, which can be useful, but it also creates chromatic aberrations. As bandwidth ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...