Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

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 ...

OpenAI Group PBC today introduced a platform called Frontier that companies can use to build and manage artificial ...

A new metasurface design lets light of different spins bend, focus, and behave independently—while staying sharp across many ...

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

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 ...