SELF-SUPERVISED NODE CLASSIFICATION WITH STRATEGY AND ACTIVELY SELECTED LABELED SET

To alleviate the impact of insufficient labels in less-labeled classification problems, self-supervised learning improves the performance of graph neural networks (GNNs) by focusing on the information of unlabeled nodes.However, none of the existing self-supervised pretext tasks perform optimally keychron m4 on different datasets, and the choice of

BackgroundInsulin is the primary treatment for type 1 and some type 2 diabetes but remains costly in the United States, even though it was discovered more than a century ago.High prices can lead to nonadherence and are often sustained by patents and regulatory exclusivities that limit competition on brand-name products.We sought to examine how manu