Accelerating NetworkX: The Future of Easy Graph Analytics
, Core Developer, NetworkX
, Senior Software Engineer, NVIDIA
NetworkX is the de facto standard for doing traditional graph analytics in Python and is used ubiquitously in workflows ranging from generative neural networks; fraud detection; geospatial, genomics, biology, and social networks; and more. NetworkX is evolving from its pure Python implementation to support optimized backends via dispatching to enable greater performance and scalability. Come learn how we made this possible and how to accelerate your graph workflows with NetworkX backends such as nx-cugraph that runs on NVIDIA GPUs using the same library that powers RAPIDS cuGraph.