RAPIDS cuGraph focuses on the graph analysis part of data science. Brad Rees, Joe Eaton, and Alex Fender will present the current state of cuGraph and discuss what's coming next. We'll dive into the latest cuGraph features, such as: Minimum Spanning Tree (MST)/Maximum Spanning Forest (MSF) and Single Layer Hierarchical Clustering (SLHC) and its application in finance; Egonet extraction and how that ties into graph neural networks; the traveling salesman; the push to scale to multiple GPUs and increased compatibility with external frameworks; and more.