A curated list of community detection research papers with implementations.
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Updated
Mar 16, 2024 - Python
A curated list of community detection research papers with implementations.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Library of community detection algorithms and visualization tools
A Python implementation of Girvan-Newman algorithm
Deep and conventional community detection related papers, implementations, datasets, and tools.
A news recommendation system tailored for user communities
A repository of pretty cool datasets that I collected for network science and machine learning research.
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
Community Discovery Library
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Implementation of "Overlapping Community Detection with Graph Neural Networks"
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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