Abstract: Semisupervised node classification is a prevalent task on graphs, which involves predicting the labels of unlabeled nodes based on limited labeled data available. At present, centralized ...

AI now generates more than 50% of the world’s code, and growing. The tooling that catches what that code breaks in production was not made to keep up with that speed of delivery. NodeSource, the ...

Abstract: With the rapid growth of information, large amounts of graph-structured data have been generated. As an important task in graph-structured data research, node classification, which aims to ...