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 ...

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 ...