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Last updated May 9, 2026
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Substack

Graphs For Data Science

Net_DBSCAN

Repository to accompany the substack Data For Science

Graphs for Data Science is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

All the code is runnable in Binder and each blog post corresponds to a different notebook

25\. Graph Neural Networks 101: Predicting Molecular Properties from Scratch - Graph Neural Networks 101.ipynb

24\. k-core Decomposition - k-core.ipynb

23\. Network Attacks - Network Attacks.ipynb

22\. Kahn's Algorithm for Topological Sorting - Topological Sorting.ipynb

21\. Prim's Minimum Spanning Tree Algorithm - Prim's MST Algorithm.ipynb

20\. Neighborhood Overlap and Edge Weights - Edge Weight and Network structure.ipynb

19\. Bipartite Graphs 101 - Bipartite 101.ipynb

18\. Epidemic Models

17\. Community Structure and Network Modularity - Community Detection.ipynb

16\. Markov Chains and PageRank - PageRank.ipynb

15\. Network Assortativity and the Configurational Model - Degree Correlations and the Configurational Model.ipynb

14\. Barabasi-Albert Model and Preferential Attachment - BA Model and Preferential Attachment.ipynb

13\. The Watts-Strogatz Model and the Small World Effect - WS and the Small World Effect.ipynb

12\. Erdős-Rényi Model and Clustering Coefficient - ER and Clustering Coefficient.ipynb

11\. Network Motifs: Frequent patterns in Graphs - motifs.ipynb

10\. Bitcoin Transaction Network: Networks on the blockchain - Blockchain.ipynb

9\. Graph Components: Strongly and Weakly Connected Components - Components.ipynb

8\. Node Centrality: Degree, Closeness, and Betweenness Centrality - Node Centrality.ipynb

7\. Graph Embeddings 101: From word2vec to node2vec, and beyond - node2vec.ipynb

6\. Structural Causal Models: Reasoning with DAGs

5\. Searching Graphs: Or how to get turn by turn directions from Open Street Map - Search.ipynb

4\. Word Networks for Language Generation - n-grams.ipynb

3\. Understanding DBSCAN and K-NN with Random Geometric Graphs - Random Networks.ipynb

2\. Graphs 101 - A deep look at the airline transportation network - Graphs 101 - Airline Network.ipynb

1\. Graph Algorithms for Data Science

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Author

Bruno Gonçalves

Bruno Gonçalves

Data For Science, Inc.

Web: www.data4sci.com
Twitter/X: @bgoncalves
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