A curated list of community detection research papers with implementations.

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

• Updated Dec 20, 2025
• Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

machine-learning sklearn community-detection network-science deepwalk networkx supervised-learning louvain unsupervised-learning network-embedding scikit label-propagation gcn graph-clustering node2vec networkx-graph graph-embedding graph2vec node-embedding 2vec

• Updated Jul 17, 2024
• Python

Louvain Community Detection

community-detection networkx louvain-method

• Updated Mar 16, 2024
• Python

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

community-detection clustering-algorithm

• Updated Nov 2, 2026
• Python

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

deep-learning neural-network clustering community-detection pytorch deepwalk louvain metis graph-convolutional-networks gcn graph-clustering node2vec node-classification graphsage graph-neural-networks graph2vec diff2vec gemsec musae graph-convolution

• Updated Nov 6, 2022
• Python

Library of graph clustering algorithms

community graph graph-algorithms community-detection louvain bron-kerbosch-algorithm spectral-clustering girvan-newman-algorithm

• Updated Nov 4, 2023
• Python

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

data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network

• Updated Dec 20, 2025

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

data-mining awesome deep-learning community-detection survey network-embedding graph-clustering graph-embedding deep-neural-network graph-neural-networks network-representation-learning graph-neural-network

• Updated Sep 4, 2025

A SQLite extension that adds graph database capabilities with Cypher query language support and built-in graph algorithms.

python rust sql neo4j community-detection knowledge-graph graph-database graphdb sqlite3 cypher graph-analytics sqlite-extension graph-rag

• Updated Nov 10, 2026
• C

Community Discovery Library

community-detection networkx complex-networks network-analysis igraph community-discovery community-evaluation cdlib

• Updated Aug 16, 2026
• Python

Implements of community detection algorithms

community-detection

• Updated Sep 28, 2018
• Python

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

python graph-algorithms community-detection networkx complex-networks ricci-flow graph-analysis ricci-curvature graph-similarity forman-curvature

• Updated Aug 24, 2026
• Python

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

machine-learning facebook neural-network clustering tensorflow word2vec community-detection deezer deepwalk matrix-factorization gensim unsupervised-learning embedding network-embedding node2vec graph-embedding gemsec implicit-factorization semisupervised-learning m-nmf

• Updated Nov 6, 2022
• Python

复杂网络社区发现算法、评价指标、常用数据集整理

community-detection complex-networks

• Updated May 4, 2020
• Python

Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.

community-detection louvain louvain-algorithm

• Updated Sep 4, 2024
• C++

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

machine-learning deep-learning clustering word2vec community-detection pytorch deepwalk gensim factorization network-embedding node2vec graph-embedding overlapping-community-detection deep-neural-network graph-representation-learning node-embedding implicit-factorization graph-neural-network ego-splitting word-vector

• Updated Jun 6, 2023
• Python

A news recommendation system tailored for user communities

natural-language-processing clustering community-detection recommendation-system

• Updated Mar 23, 2026
• Jupyter Notebook

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

data-science machine-learning deep-learning clustering word2vec sklearn community-detection deepwalk autoencoder dimensionality-reduction unsupervised-learning cikm embedding nmf coordinate-descent node2vec node-embedding gemsec mnmf danmf

• Updated Mar 18, 2023
• Python

Implementation of "Overlapping Community Detection with Graph Neural Networks"

community-detection pytorch overlapping-community-detection geometric-deep-learning graph-neural-networks

• Updated Sep 25, 2020
• Jupyter Notebook

GN, FN, LPA, SLPA, COPAR、Louvain...

community-detection

• Updated Mar 1, 2023
• Python