hyperparameter optimization for graph neural networks with transfer learning
6 March 2026
meta-learning
GNNs
research
Benchmarking five hyperparameter optimization methods for graph neural networks across nine datasets, and a meta-learning approach that transfers tuning knowledge between them to warm-start the search.