https://github.com/benedekrozemberczki/awesome-community-detection

A curated list of community detection research papers with implementations.
https://github.com/benedekrozemberczki/awesome-community-detection

List: awesome-community-detection

bigclam clustering community-detection data-science deep-learning deepwalk dimensionality-reduction embedding factorization graph-clustering igraph machine-learning matrix-factorization network-analysis network-clustering network-science networkx node2vec social-network unsupervised-learning

Last synced: about 18 hours ago
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A curated list of community detection research papers with implementations.

• Host: GitHub
• URL: https://github.com/benedekrozemberczki/awesome-community-detection
• Owner: benedekrozemberczki
• License: cc0-1.0
• Created: 2018-10-10T15:17:30.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-03-16T21:14:46.000Z (9 months ago)
• Last Synced: 2024-12-13T16:48:50.961Z (8 days ago)
• Topics: bigclam, clustering, community-detection, data-science, deep-learning, deepwalk, dimensionality-reduction, embedding, factorization, graph-clustering, igraph, machine-learning, matrix-factorization, network-analysis, network-clustering, network-science, networkx, node2vec, social-network, unsupervised-learning
• Language: Python
• Homepage:
• Size: 2.21 MB
• Stars: 2,342
• Watchers: 110
• Forks: 362
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: contributing.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: code-of-conduct.md

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• awesome-machine-learning-resources - **[List - community-detection?style=social) (Table of Contents)
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• awesome-awesomeness - Community Detection

README

        
# Awesome Community Detection Research Papers

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)

[![repo size](https://img.shields.io/github/repo-size/benedekrozemberczki/awesome-community-detection.svg)](https://github.com/benedekrozemberczki/awesome-community-detection/archive/master.zip)

![License](https://img.shields.io/github/license/benedekrozemberczki/awesome-community-detection.svg?color=blue) [![benedekrozemberczki](https://img.shields.io/twitter/follow/benrozemberczki?style=social&logo=twitter)](https://twitter.com/intent/follow?screen_name=benrozemberczki)

A collection of community detection research papers.

Similar collections about [graph classification](https://github.com/benedekrozemberczki/awesome-graph-classification), [classification/regression tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers), [fraud detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers), and [gradient boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers) papers with implementations.



  



## Table of Contents  

1. [Matrix Factorization](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/factorization.md)  

2. [Deep Learning](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/deep_learning.md) 

3. [Label Propagation, Percolation and Random Walks](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/label_propagation.md) 

4. [Tensor Decomposition](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/tensor_decomposition.md)

5. [Spectral Methods](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/spectral.md) 

6. [Temporal Methods](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/temporal.md) 

7. [Cyclic Patterns](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/cyclic.md)

8. [Centrality and Cuts](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/centrality.md) 

9. [Physics Inspired](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/physics.md)

10. [Block Models](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/blockmodels.md)

11. [Hypergraphs](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/hyper_graphs.md) 

12. [Others](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/others.md) 

13. [Libraries](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/chapters/libraries.md)

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**License**

- [CC0 Universal](https://github.com/benedekrozemberczki/awesome-community-detection/blob/master/LICENSE)