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 ...

The rapper has been slipping into more conservative territory for quite some time now. In order to understand her final ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) in children aged 12 years or under. Methods This population-based study ...