Graph regression is a fundamental task that has gained significant attention in various graph learning tasks.

The proposed predictive uncertainty, as feedback from the pre-training model, measures the confidence level of the model in the data. When fed with the chosen data, on the other hand, the pre-training model grasps an initial understanding of the new, unseen data, and at the same time attempts to remember the knowledge learned from previous data.

"freely" into massive pre-training datasets to support large-scale pre-training.