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removed algrorithms from the path of the cpp links and added rorg blurb
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acostadon committed Jan 8, 2025
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12 changes: 6 additions & 6 deletions docs/cugraph-docs/source/graph_support/algorithms.md
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Expand Up @@ -22,7 +22,7 @@ Note: Multi-GPU, or MG, includes support for Multi-Node Multi-GPU (also called M

| Category | Notebooks | Scale | Notes |
| ----------------- | ---------------------------------- | ------------------- | --------------------------------------------------------------- |
| [Centrality](./algorithms/Centrality.html ) | [Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb) | | |
| [Centrality](./Centrality.html ) | [Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb) | | |
| | [Katz](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Katz.ipynb) | __Multi-GPU__ | |
| | [Betweenness Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Betweenness.ipynb) | __Multi-GPU__ | MG as of 23.06 |
| | [Edge Betweenness Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Betweenness.ipynb) | __Multi-GPU__ | MG as of 23.08 |
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| Layout | | | |
| | [Force Atlas 2](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/layout/Force-Atlas2.ipynb) | Single-GPU | |
| Linear Assignment | | | |
| | [Hungarian]() | Single-GPU | [README](./algorithms/cpp_algorithms/linear_cpp.html) |
| | [Hungarian]() | Single-GPU | [README](./cpp_algorithms/linear_cpp.html) |
| Link Analysis | | | |
| | [Pagerank](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_analysis/Pagerank.ipynb) | __Multi-GPU__ | [C++ README](./algorithms/cpp_algorithms/centrality_cpp.html#Pagerank) |
| | [Personal Pagerank]() | __Multi-GPU__ | [C++ README](./algorithms/cpp_algorithms/centrality_cpp.html#Personalized-Pagerank) |
| | [Pagerank](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_analysis/Pagerank.ipynb) | __Multi-GPU__ | [C++ README](./cpp_algorithms/centrality_cpp.html#Pagerank) |
| | [Personal Pagerank]() | __Multi-GPU__ | [C++ README](./cpp_algorithms/centrality_cpp.html#Personalized-Pagerank) |
| | [HITS](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_analysis/HITS.ipynb) | __Multi-GPU__ | |
| [Link Prediction](algorithms/Similarity.html) | | | |
| | [Jaccard Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Jaccard-Similarity.ipynb) | __Multi-GPU__ | Directed graph only |
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| | Node2Vec | __Multi-GPU__ | |
| | Neighborhood sampling | __Multi-GPU__ | |
| Traversal | | | |
| | Breadth First Search (BFS) | __Multi-GPU__ | with cutoff support [C++ README](./algorithms/cpp_algorithms/traversal_cpp.html#BFS) |
| | Single Source Shortest Path (SSSP) | __Multi-GPU__ | [C++ README](./algorithms/cpp_algorithms/traversal_cpp.html#SSSP) |
| | Breadth First Search (BFS) | __Multi-GPU__ | with cutoff support [C++ README](./cpp_algorithms/traversal_cpp.html#BFS) |
| | Single Source Shortest Path (SSSP) | __Multi-GPU__ | [C++ README](./cpp_algorithms/traversal_cpp.html#SSSP) |
| | _ASSP / APSP_ | --- | |
| Tree | | | |
| | Minimum Spanning Tree | Single-GPU | |
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11 changes: 11 additions & 0 deletions docs/cugraph-docs/source/index.rst
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Expand Up @@ -13,6 +13,17 @@ RAPIDS data science ecosystem and allows data scientists to easily call
graph algorithms using data stored in cuDF/Pandas DataFrames or CuPy/SciPy
sparse matrices.

~~~~~~~~~~~
Latest News
~~~~~~~~~~~
We have reorganized the cuGraph repository to make it more efficient to build, maintain and use.

cuGraph code supporting GNNs is now located in the `cugraph-gnn repository <https://github.com/rapidsai/cugraph-gnn>`_.

Code for cuGraph as a NetworkX backend is now located in the `RAPIDS nx-cugraph repository <https://github.com/rapidsai/nx-cugraph>`_.

cuGraph code supporting overall documentaion is now located in the `cugraph-docs repository <https://github.com/rapidsai/cugraph-docs>`_.

---------------------------
cuGraph Using NetworkX Code
---------------------------
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