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

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

A repository of pretty cool datasets that I collected for network science and machine learning research.

Deep and conventional community detection related papers, implementations, datasets, and tools.

Community Discovery Library

Implements of community detection algorithms

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.

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 Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

A news recommendation system tailored for user communities

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

Implementation of "Overlapping Community Detection with Graph Neural Networks"

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

GN, FN, LPA, SLPA, COPAR、Louvain...