Zeyang Zhang

Causal-aware Graph Neural Architecture Search under Distribution Shifts

2024 · arXiv (Cornell University)

Graph NAS has emerged as a promising approach for autonomously designing GNN architectures by leveraging the correlations between graphs and architectures. Existing methods fail to generalize under distribution shifts that are ubiquitous in real-world graph …