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 graph clustering algorithms

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

Community Discovery Library

Implements of community detection algorithms

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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

复杂网络社区发现算法、评价指标、常用数据集整理

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

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

GN, FN, LPA, SLPA, COPAR、Louvain...

A Python implementation of Girvan-Newman algorithm

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

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Supervised community detection with line graph neural networks

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).