2020
Strategies for Pre-training Graph Neural Networks
ICLR 2020spotlight
Many applications of machine learning require a model to make accurate pre-dictions on test examples that are distributionally different from training ones, while task-specific labels are scarce during training. An effective approach to this challenge is to pre-train a model on related tasks where d…