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 ...

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

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 ...