Newswise — A primary limitation of Graph Neural Networks(GNNs)is their vulnerability to distribution shifts. In real-world applications,models often rely on"shortcuts"—spurious correlations that ...

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 ...

Researchers at Central South University have developed a cluster-based domain adaptation method that aligns only semantically ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...