Andi Han

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond

2023 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have emerged as one of the leading approaches for machine learning on graph-structured data. Despite their great success, critical computational challenges such as over-smoothing, over-squashing, and limited expressive power continue to …