Tutorial 2
Graph analytics
The second block focuses on graph construction and analysis with cuGraph, including shortest-path style analytics and weighted-travel-time examples. The workflow also introduces interoperability patterns through NetworkX backend acceleration with nx-cugraph for users maintaining existing NetworkX code.
- cuGraph intro, graph construction, basic algorithms (pagerank, connected components)
- Graph construction, shortest path and weighted travel-time workflows (https://colab.research.google.com/github/D-Barradas/Accelerated-Data-Science-with-RAPIDS/blob/main/part2/2-01_prep_graph.ipynb) -
- NetworkX backend acceleration with nx-cugraph, centrality workflows (https://colab.research.google.com/github/D-Barradas/Accelerated-Data-Science-with-RAPIDS/blob/main/part2/2-03_networkx_cugraph.ipynb) -