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 ...

One of the most interesting features of the human brain is its ability to extract general principles from specific cases. According to many philosophers and psychologists, generalization is an ...

It’s a question that’s been around for a very long time: which is better to focus on, specialization or generalization? Many people have to ask themselves this as they develop skills for a future ...