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)

Louvain Community Detection

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 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.

Implements of community detection algorithms

Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction_for_contribution.pdf} file.

Community Discovery Library

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).

A news recommendation system tailored for user communities

复杂网络社区发现算法、评价指标、常用数据集整理

A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A Python implementation of Girvan-Newman algorithm

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

Java package that provides data structures and algorithms for network analysis.