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nv-rliu authored Sep 9, 2024
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Expand Up @@ -39,7 +39,7 @@ The RAPIDS data science framework is a collection of libraries for running end-t


**<i class="fa-light fa-chart-network"></i> Graph Analytics with [cuGraph](https://github.com/rapidsai/cugraph){: target="_blank"}**:
Start with the [Easy Path](/api/cugraph/stable/basics/nx_transition/#easy-path-use-networkx-graph-objects-accelerated-algorithms){: target="_blank"} to use NetworkX graph objects with accelerated algorithms. Or, use [nx-cugraph](/api/cugraph/stable/nx_cugraph/nx_cugraph/){: target="_blank"} to use the NetworkX API with a zero-code-change GPU accelerated backend. There is also a general [cuGraph Introduction](/api/cugraph/stable/basics/cugraph_intro/){: target="_blank"}.
Start with the [Easy Path](/api/cugraph/stable/basics/nx_transition/#easy-path-use-networkx-graph-objects-accelerated-algorithms){: target="_blank"} to use NetworkX graph objects with accelerated algorithms. Or, use [nx-cugraph](/api/cugraph/stable/nx_cugraph/nx_cugraph/){: target="_blank"} to use the NetworkX API with a zero code change GPU accelerated backend. There is also a general [cuGraph Introduction](/api/cugraph/stable/basics/cugraph_intro/){: target="_blank"}.
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