In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them ...

At a California State Senate committee hearing this year, the director of CalTrans, Tony Tavares, showed a simple chart that ...

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 ...

Abstract: Graph representation learning (GRL) has become a new learning paradigm, supporting a wide range of tasks such as node classification, link prediction, and graph classification. However, the ...