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 ...
Measurement invariance is a fundamental property of educational assessments that ensures a given test or scale measures the intended construct consistently across different student groups, cultural ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results