Dynamic graph augmentation is used to improve the performance of dynamic GNNs. Most methods assume temporal locality, meaning that recent edges are more influential than earlier edges. However, for ...

In the rapidly evolving landscape of higher education, traditional pedagogical methods often fall short in meeting the diverse needs and learning styles of students. This paper advocates for a ...