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 ...

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 ...

Many people shy away from the idea of making decisions based on stereotypes. Why? Stereotype has a negative connotation. But a stereotype is simply a generalization about how a group of people behaves ...

If you want to improve your aerobic capacity, play full-court basketball, not softball. To improve your analytical skills, learn to play chess or bridge, not Chutes and Ladders. If you really want to ...

OOP (object oriented programming) is a paradigm that is centered on objects and data rather than actions and logic. When working with OOP, it is imperative that you identify the objects and their ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...