Skip to content

Commit

Permalink
updating notebooks (#1761)
Browse files Browse the repository at this point in the history
updating notebooks

Authors:
  - Brad Rees (https://github.com/BradReesWork)

Approvers:
  - Rick Ratzel (https://github.com/rlratzel)

URL: #1761
  • Loading branch information
BradReesWork committed Aug 9, 2021
1 parent 70b4ad3 commit 341b9b0
Show file tree
Hide file tree
Showing 8 changed files with 962 additions and 147 deletions.
10 changes: 5 additions & 5 deletions notebooks/README.md
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 |
Expand Down

0 comments on commit 341b9b0

Please sign in to comment.