This week, StellarGraph released a new version of its open source library for machine learning on graphs. One of the most exciting features of StellarGraph 1.0 is a new graph data structure -- built using NumPy and Pandas -- that results in significantly lower memory usage and faster construction times. Consider that a graph created from Reddit, with more than 200 thousand nodes and 11 million edges, required almost 7GB of memory with previous iterations of the library's graph data structure. It also took 2.5 minutes to construct. In the new StellarGraph class's minimal form, that same Reddit graph now uses approximately 174MB.