debigging links

Author: acostadon

docs/cugraph-docs/source/graph_support/algorithms.md

@@ -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   |
@@ -55,7 +55,7 @@ Note: Multi-GPU, or MG, includes support for Multi-Node Multi-GPU (also called M
 |                   | [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)   |                                    |                     |                                                                 |
+| [Link Prediction](./Similarity.html)   |                                    |                     |                                                                 |
 |                   | [Jaccard Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Jaccard-Similarity.ipynb)                 | __Multi-GPU__      | Directed graph only                         |
 |                   | [Weighted Jaccard Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Jaccard-Similarity.ipynb)        | Single-GPU          |                                                                 |
 |                   | [Overlap Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Overlap-Similarity.ipynb)                 | **Multi-GPU** |                                                   |

docs/cugraph-docs/source/graph_support/algorithms/Centrality.md

@@ -15,10 +15,10 @@ But which vertices are most important? The answer depends on which measure/algor
 
 |Algorithm          |Notebooks Containing                                                     |Description                                                  |
 | --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-|[Degree Centrality](degree_centrality.html)| [Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb), [Degree](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Degree.ipynb)                   |Measure based on counting direct connections for each vertex|
-|[Betweenness Centrality](betweenness_centrality.html)| [Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb), [Betweenness](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Betweenness.ipynb)                    |Number of shortest paths through the vertex|
-|[Eigenvector Centrality](eigenvector_centrality.html)|[Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb), [Eigenvector](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Eigenvector.ipynb)|Measure of connectivity to other important vertices (which also have high connectivity) often referred to as the influence measure of a vertex|
-|[Katz Centrality](katz_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)                                         |Similar to Eigenvector but has tweaks to measure more weakly connected graph  |
+|[Degree Centrality](../degree_centrality.html)| [Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb), [Degree](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Degree.ipynb)                   |Measure based on counting direct connections for each vertex|
+|[Betweenness Centrality](../betweenness_centrality.html)| [Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb), [Betweenness](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Betweenness.ipynb)                    |Number of shortest paths through the vertex|
+|[Eigenvector Centrality](../eigenvector_centrality.html)|[Centrality](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Centrality.ipynb), [Eigenvector](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/centrality/Eigenvector.ipynb)|Measure of connectivity to other important vertices (which also have high connectivity) often referred to as the influence measure of a vertex|
+|[Katz Centrality](../katz_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)                                         |Similar to Eigenvector but has tweaks to measure more weakly connected graph  |
 |Pagerank| [Pagerank](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_analysis/Pagerank.ipynb)                                         |Classified as both a link analysis and centrality measure by quantifying incoming links from central vertices.  |
 
 

docs/cugraph-docs/source/graph_support/algorithms/Similarity.md

@@ -15,9 +15,9 @@ Manipulation of the data before or after the graph analytic is not covered here.
 
 |Algorithm          |Notebooks Containing                                                     |Description                                                  |
 | --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-|[Jaccard Smiliarity](jaccard_similarity.html)| [Jaccard Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Jaccard-Similarity.ipynb)                 ||
-|[Overlap Similarity](overlap_similarity.html)| [Overlap Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Overlap-Similarity.ipynb)                    ||
-|[Sorensen](sorensen_coefficient.html)|[Sorensen Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Sorensen_coefficient.ipynb)||
+|[Jaccard Smiliarity](../jaccard_similarity.html)| [Jaccard Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Jaccard-Similarity.ipynb)                 ||
+|[Overlap Similarity](../overlap_similarity.html)| [Overlap Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Overlap-Similarity.ipynb)                    ||
+|[Sorensen](../sorensen_coefficient.html)|[Sorensen Similarity](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_prediction/Sorensen_coefficient.ipynb)||
 |Personal Pagerank|[Pagerank](https://github.com/rapidsai/cugraph/blob/main/notebooks/algorithms/link_analysis/Pagerank.ipynb)                 ||