Diffusing to the Top: Boost Graph Neural Networks with Minimal
Hyperparameter Tuning
Diffusing to the Top: Boost Graph Neural Networks with Minimal
Hyperparameter Tuning
Graph Neural Networks (GNNs) are proficient in graph representation learning and achieve promising performance on versatile tasks such as node classification and link prediction. Usually, a comprehensive hyperparameter tuning is essential for fully unlocking GNN's top performance, especially for complicated tasks such as node classification on large graphs and long-range …