Abstract: Dynamic graph data can not only reveal the rules of network evolution, but also contain a large amount of personal privacy information. The degree of nodes is an important indicator to ...

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...

This workshop is designed for students and research teams who want to turn cleaned data into clear, publication-ready graphics. Participants learn the core ideas behind the “grammar of graphics” and ...