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 ...

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 ...

Traditional machine learning models require a substantial amount of labeled training data to achieve good performance. They learn patterns and make predictions based on the examples they have seen ...