arxivcs.LGcs.AI2026-07-06
Hyperparameter Transfer in Graph Neural Networks
The performance of deep learning models crucially depends on the settings of hyperparameters like learning rate, initialization scale, and weight decay. Hyperparameter transfer aims to make near-optimal hyperparameter settings consistent across model scale, so that large models c…