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[REVIEW] updating notebooks #1761

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merged 6 commits into from Aug 9, 2021
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[REVIEW] updating notebooks #1761

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b9cabdd
updating notebooks
BradReesWork Aug 5, 2021
4d0d54c
updating notebooks
BradReesWork Aug 5, 2021
b66ac05
redid order
BradReesWork Aug 5, 2021
0926702
updated docs to identify difference between Nx
BradReesWork Aug 6, 2021
7cba3cb
style
BradReesWork Aug 6, 2021
9d585a8
Update notebooks/community/Louvain.ipynb
BradReesWork Aug 6, 2021
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10 changes: 5 additions & 5 deletions notebooks/README.md
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Expand Up @@ -10,12 +10,13 @@ This repository contains a collection of Jupyter Notebooks that outline how to r
| Folder | Notebook | Description |
| --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| Centrality | | |
| | [Centrality](centrality/Centrality.ipynb) | Compute and compare multiple centrality scores |
| | [Centrality](centrality/Centrality.ipynb) | Compute and compare multiple (currently 4) centrality scores |
| | [Katz](centrality/Katz.ipynb) | Compute the Katz centrality for every vertex |
| | [Betweenness](centrality/Betweenness.ipynb) | Compute both Edge and Vertex Betweenness centrality |
| Community | | |
| | [Louvain](community/Louvain.ipynb) | Identify clusters in a graph using the Louvain algorithm |
| | [Louvain](community/Louvain.ipynb) and Leiden | Identify clusters in a graph using both the Louvain and Leiden algorithms |
| | [ECG](community/ECG.ipynb) | Identify clusters in a graph using the Ensemble Clustering for Graph |
| | [K-Truss](community/ktruss.ipynb) | Extracts the K-Truss cluster |
| | [Spectral-Clustering](community/Spectral-Clustering.ipynb) | Identify clusters in a graph using Spectral Clustering with both<br> - Balanced Cut<br> - Modularity Modularity |
| | [Subgraph Extraction](community/Subgraph-Extraction.ipynb) | Compute a subgraph of the existing graph including only the specified vertices |
| | [Triangle Counting](community/Triangle-Counting.ipynb) | Count the number of Triangle in a graph |
Expand All @@ -24,18 +25,17 @@ This repository contains a collection of Jupyter Notebooks that outline how to r
| Core | | |
| | [K-Core](cores/kcore.ipynb) | Extracts the K-core cluster |
| | [Core Number](cores/core-number.ipynb) | Computer the Core number for each vertex in a graph |
| | [K-Truss](cores/ktruss.ipynb) | Extracts the K-Truss cluster |
| Link Analysis | | |
| | [Pagerank](link_analysis/Pagerank.ipynb) | Compute the PageRank of every vertex in a graph |
| | [HITS](link_analysis/HITS.ipynb) | Compute the HITS' Hub and Authority scores for every vertex in a graph |
| Link Prediction | | |
| | [Jaccard Similarity](link_prediction/Jaccard-Similarity.ipynb) | Compute vertex similarity score using both:<br />- Jaccard Similarity<br />- Weighted Jaccard |
| | [Overlap Similarity](link_prediction/Overlap-Similarity.ipynb) | Compute vertex similarity score using the Overlap Coefficient |
| Sampling |
| | [Random Walk](sampling/RandomWalk.ipynb) | Compute Random Walk for a various number of seeds and path lengths |
| Traversal | | |
| | [BFS](traversal/BFS.ipynb) | Compute the Breadth First Search path from a starting vertex to every other vertex in a graph |
| | [SSSP](traversal/SSSP.ipynb) | Single Source Shortest Path - compute the shortest path from a starting vertex to every other vertex |
| Sampling |
| | [Random Walk](sampling/RandomWalk.ipynb) | Compute Random Walk for a various number of seeds and path lengths |
| Structure | | |
| | [Renumbering](structure/Renumber.ipynb) <br> [Renumbering 2](structure/Renumber-2.ipynb) | Renumber the vertex IDs in a graph (two sample notebooks) |
| | [Symmetrize](structure/Symmetrize.ipynb) | Symmetrize the edges in a graph |
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