The relationships between data sets matter.  Discovering, analyzing, and learning those relationships is a central part to expanding our understand, and is a critical step to being able to predict and act upon the data. Unfortunately, these are not always simple or quick tasks. To help the analyst we introduce RAPIDS, a collection of open-source libraries, […]

Until recently, few people had much experience putting graphs to work — not beyond university homework based on Dijkstra’s algorithm or calculating centrality. Imagination filled gaps where direct experience was rare. Today, however, graph applications are becoming more commonplace. They don’t require the enormous scale of social networks. Many interesting graph use cases fit within […]