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Graph Theory

Graph/GNN courses
​machine learning with graphs by Stanford, from ML to GNN.
​Graph deep learning course - graphs, sets,  groups,  GNNs. youtube​
Graph Topics
​General purpose and community detection GIT karate club bene
Connectivity
Min-cut: 1, 2, 3, 4, 5, 6
​Louvain community​
Girwan newman gist, this worked, this is potentially good too, another, another, another​
​Node2vec, paper,  medium1, medium 2 - tutorial - code, git code, original py2 code, taboola code for their medium paper​
​Evaluation metrics for community detection​
​Review for community detection algorithms - paper​
​Term: community structure​
​Term: modularity of networks​
​Unread paper​
​Unread comparison of community detection algos​
​Clustering adjacency matrices​
​Spectral-clustering (is this suppose to be here?)
​Finding natural groups in undirected graphs​
​Awesome community detection on github​
​Various algorithms​
​5. Centrality algorithms​
​5.1. The PageRank algorithm​
​5.2. The Betweenness Centrality algorithm​
​5.3. The Closeness Centrality algorithm​
​5.4. The Degree Centrality algorithm​
​6. Community detection algorithms​
​6.1. The Louvain algorithm​
​6.2. The Label Propagation algorithm​
​6.3. The Connected Components algorithm​
​7. Experimental algorithms​
​7.1. Procedures​
​7.2. Centrality algorithms​
​7.3. Community detection algorithms​
​7.4. Path finding algorithms​
​7.5. Similarity algorithms​
​7.6. Link Prediction algorithms​
​7.7. Preprocessing functions and​
Graph Tools
​Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs
​NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

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