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https://github.com/eric-erki/awesome-community-detection
A curated list of community detection research papers with implementations.
https://github.com/eric-erki/awesome-community-detection
List: awesome-community-detection
Last synced: 16 days ago
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A curated list of community detection research papers with implementations.
- Host: GitHub
- URL: https://github.com/eric-erki/awesome-community-detection
- Owner: eric-erki
- License: cc0-1.0
- Created: 2020-02-02T13:14:00.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-02-02T13:14:27.000Z (almost 5 years ago)
- Last Synced: 2024-04-22T02:11:42.369Z (8 months ago)
- Language: Python
- Size: 1.99 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: code-of-conduct.md
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README
# Awesome Community Detection Research Papers
[](https://github.com/sindresorhus/awesome)
[](http://makeapullrequest.com)
  
A collection of community detection papers with implementations.
Similar collections about [graph classification](https://github.com/benedekrozemberczki/awesome-graph-classification), [classification/regression tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers), [fraud detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers), and [gradient boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers) papers with implementations.
##### Table of Contents
1. [Factorization](#factorization)
2. [Deep Learning](#deep-learning)
3. [Label Propagation, Percolation and Random Walks](#label-propagation-percolation-and-random-walks)
4. [Tensor Decomposition](#tensor-decomposition)
5. [Spectral Methods](#spectral-methods)
6. [Temporal Methods](#temporal-methods)
7. [Cyclic Patterns](#cyclic-patterns)
8. [Centrality and Cuts](#centrality-and-cuts)
9. [Physics Inspired](#physics-inspired)
10. [Others](#others)
## Factorization
- **Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI 2020)**
- Hongteng Xu
- [[Paper]](https://arxiv.org/abs/1911.08530)
- [[Python Reference]](https://github.com/HongtengXu/Relational-Factorization-Model)
- **Graph Embedding with Self-Clustering (ASONAM 2019)**
- Benedek Rozemberczki, Ryan Davies, Rik Sarkar, and Charles Sutton
- [[Paper]](https://arxiv.org/abs/1802.03997)
- [[Python Reference]](https://github.com/benedekrozemberczki/GEMSEC)
- **Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering (ICDM 2019)**
- Youwei Liang, Dong Huang, and Chang-Dong Wang
- [[Paper]](https://youweiliang.github.io/files/consistent_graph_learning.pdf)
- [[Matlab Reference]](https://github.com/youweiliang/ConsistentGraphLearning)
- **GMC: Graph-based Multi-view Clustering (TKDE 2019)**
- Hao Wang, Yan Yang, Bing Liu
- [[Paper]](https://www.researchgate.net/publication/331602096_GMC_Graph-based_Multi-view_Clustering)
- [[Matlab Reference]](https://github.com/cshaowang/gmc)
- **Embedding-based Silhouette Community Detection (Arxiv 2019)**
- Blaž Škrlj, Jan Kralj, Nada Lavrač
- [[Paper]](https://arxiv.org/abs/1908.02556)
- [[Python Reference]](https://arxiv.org/abs/1908.02556)
- **Knowledge Graph Enhanced Community Detection and Characterization (WSDM 2019)**
- Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen ,Valerie Shalin, Derek Doran, and Brandon Minnery
- [[Paper]](https://dl.acm.org/authorize.cfm?key=N676882)
- [[Java Reference]](https://github.com/shreyanshbhatt/KnowledgeGraph_in_CommunityDetection)
- **Discrete Optimal Graph Clustering (IEEE Cybernetics 2019)**
- Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu
- [[Paper]](https://arxiv.org/abs/1904.11266)
- [[Matlab Reference]](https://github.com/christinecui/DOGC)
- **Total Variation Based Community Detection Using a Nonlinear Optimization Approach (Arxiv 2019)**
- Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
- [[Paper]](https://arxiv.org/abs/1907.08048)
- [[C++ Reference]](https://github.com/acristofari/fast-atvo)
- **vGraph: A Generative Model for Joint Community Detection and Node Representation Learning (NeurIPS 2019)**
- Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
- [[Paper]](https://arxiv.org/abs/1906.07159)
- [[Python Reference]](https://github.com/aniket-agarwal1999/vGraph-Pytorch)
- **Non-Linear Attributed Graph Clustering by Symmetric NMF with PU Learning (Arxiv 2018)**
- Seiji Maekawa, Koh Takeuch, Makoto Onizuka
- [[Paper]](https://arxiv.org/abs/1810.00946)
- [[Python Reference]](https://github.com/seijimaekawa/NAGC)
- **Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection (CIKM 2018)**
- Fanghua Ye, Chuan Chen, and Zibin Zheng
- [[Paper]](https://smartyfh.com/Documents/18DANMF.pdf)
- [[Python Reference]](https://github.com/benedekrozemberczki/DANMF)
- [[Matlab Reference]](https://github.com/smartyfh/DANMF)
- **Adaptive Community Detection Incorporating Topology and Content in Social Networks (Knowledge-Based Systems 2018)**
- Qin Meng, Jin Di, Lei Kai, Bogdan Gabrys, Katarzyna, Musial-Gabrys
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0950705118303885?dgcid=coauthor)
- [[Matlab Reference]](https://github.com/KuroginQin/ASCD)
- **Learning Latent Factors for Community Identification and Summarization (IEEE Access 2018)**
- Tiantian He, Lun Hu, Keith C. C. Chan, and Pengwei Hu
- [[Paper]](https://ieeexplore.ieee.org/document/8374421)
- [[Executable Reference]](https://github.com/he-tiantian/LFCIS)
- **Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure (AAAI 2018)**
- Aleksandar Bojchevski and Stephan Günnemann
- [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16363/16542)
- [[Python Reference]](https://github.com/abojchevski/paican)
- **A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks (AAAI 2018)**
- Sikun Yang and Heinz Koeppl
- [[Paper]](https://arxiv.org/pdf/1805.11054.pdf)
- [[C Reference]](https://github.com/stephenyang/dynamic-Edge-Partition-Models)
- **Sentiment-driven Community Profiling and Detection on Social Media (ACM HSM 2018)**
- Amin Salehi, Mert Ozer, and Hasan Davulcu
- [[Paper]](https://arxiv.org/pdf/1810.06917v1.pdf)
- [[Matlab Reference]](https://github.com/amin-salehi/GSNMF)
- **TNE: A Latent Model for Representation Learning on Networks (Arxiv 2018)**
- Abdulkadir Çelikkanat and Fragkiskos D. Malliaros
- [[Paper]](https://arxiv.org/pdf/1611.06645.pdf)
- [[Python Reference]](https://github.com/abdcelikkanat/TNE)
- **Non-Linear Attributed Graph Clustering by Symmetric NMF with PU Learning (Arxiv 2018)**
- Seiji Maekawa, Koh Takeuch, Makoto Onizuka
- [[Paper]](https://arxiv.org/abs/1810.00946)
- [[Python Reference]](https://github.com/seijimaekawa/NAGC)
- **A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection (ASONAM 2018)**
- Dany Kamuhanda and Kun He
- [[Paper]](https://www.researchgate.net/publication/326208243_A_Nonnegative_Matrix_Factorization_Approach_for_Multiple_Local_Community_Detection)
- [[Python Reference]](https://github.com/danison2/MLC-code)
- **Community Preserving Network Embedding (AAAI 17)**
- Xiao Wang, Peng Cui, Jing Wang, Jain Pei, WenWu Zhu, Shiqiang Yang
- [[Paper]](https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14589/13763)
- [[Python Reference]](https://github.com/benedekrozemberczki/M-NMF)
- [[Matlab Reference]](https://github.com/AnryYang/M-NMF)
- **A Non-negative Symmetric Encoder-Decoder Approach for Community Detection (CIKM 17)**
- Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng
- [[Paper]](http://www.bigdatalab.ac.cn/~shenhuawei/publications/2017/cikm-sun.pdf)
- [[Python Reference]](https://github.com/benedekrozemberczki/karateclub)
- **Self-weighted Multiview Clustering with Multiple Graphs (IJCAI 17)**
- Feiping Nie, Jing Li, and Xuelong Li
- [[Paper]](https://www.ijcai.org/proceedings/2017/0357.pdf)
- [[Matlab Reference]](https://github.com/kylejingli/SwMC-IJCAI17)
- **Semi-supervised Clustering in Attributed Heterogeneous Information Networks (WWW 17)**
- Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, and Yudian Zheng
- [[Paper]](https://dl.acm.org/citation.cfm?id=3052576)
- [[Python Reference]](https://github.com/wedoso/SCHAIN-NL)
- **Learning Community Embedding with Community Detection and Node Embedding on Graph (CIKM 2017)**
- Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, and Erik Cambria
- [[Paper]](http://sentic.net/community-embedding.pdf)
- [[Python Reference]](https://github.com/andompesta/ComE)
- **Cross-Validation Estimate of the Number of Clusters in a Network (Scientific Report 2017)**
- Matsuro Kawamoto and Yoshiyuki Kabashima
- [[Paper]](https://arxiv.org/abs/1605.07915)
- [[Julia Reference]](https://github.com/tatsuro-kawamoto/graphBIX)
- **Comparative Analysis on the Selection of Number of Clusters in Community Detection (ArXiv 2017)**
- Matsuro Kawamoto and Yoshiyuki Kabashima
- [[Paper]](https://arxiv.org/abs/1606.07668)
- [[Julia Reference]](https://github.com/tatsuro-kawamoto/graphBIX)
- **Subspace Based Network Community Detection Using Sparse Linear Coding (TKDE 2016)**
- Arif Mahmood and Michael Small
- [[Paper]](https://ieeexplore.ieee.org/document/7312985)
- [[Python Reference]](https://github.com/DamonLiuTHU/Subspace-Based-Network-Community-Detection-Using-Sparse-Linear-Coding)
- **Joint Community and Structural Hole Spanner Detection via Harmonic Modularity (KDD 2016)**
- Lifang He, Chun-Ta Lu, Jiaqi Mu, Jianping Cao, Linlin Shen, and Philip S Yu
- [[Paper]](https://www.kdd.org/kdd2016/papers/files/rfp1184-heA.pdf)
- [[Python Reference]](https://github.com/LifangHe/KDD16_HAM)
- **Community Detection via Fused Loadings Principal Component Analysis (2016)**
- Richard Samworth, Yang Feng, and Yi Yu
- [[R Reference]](https://github.com/cran/FusedPCA)
- **Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization (IEEE ICIP 2015)**
- Zhenfan Wang, Xiangwei Kong, Hiayan Fu, Ming Li, and Yujia Zhang
- [[Paper]](https://ieeexplore.ieee.org/document/7351455)
- [[Matlab Reference]](https://github.com/DUT-DIPLab/Graph-Multi-NMF-Feature-Clustering)
- **A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization (IEEE TOC 2015)**
- Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, and Dan Meng
- [[Paper]](http://yangliang.github.io/pdf/06985550.pdf)
- [[Matlab Reference]](http://yangliang.github.io/code/LSGR.rar)
- **Community Detection via Measure Space Embedding (NIPS 2015)**
- Yulong Pei, Nilanjan Chakraborty, and Katia Sycara
- [[Paper]](https://papers.nips.cc/paper/5808-community-detection-via-measure-space-embedding.pdf)
- [[Python Reference]](https://github.com/komarkdev/der_graph_clustering)
- **Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks (IJCAI 2015)**
- Mark Kozdoba and Shie Mannor
- [[Paper]](https://www.ijcai.org/Proceedings/15/Papers/295.pdf)
- [[Python Reference]](https://github.com/yunhenk/NMTF)
- **Community Detection for Clustered Attributed Graphs via a Variational EM Algorithm (Big Data 2014)**
- Xiangyong Cao, Xiangyu Chang, and Zongben Xu
- [[Paper]](https://dl.acm.org/citation.cfm?id=2644179)
- [[Matlab Reference]](https://github.com/xiangyongcao/Variational-EM-for-Community-Detection)
- **Improved Graph Clustering (Transactions on Information Network Theory 2014)**
- Yudong Chen, Sujay Sanghavi, Huan Xu
- [[Paper]](https://ieeexplore.ieee.org/document/6873307)
- [[Matlab Reference]](https://github.com/sara-karami/improved_graph_clustering)
- **Overlapping Community Detection at Scale: a Nonnegative Matrix Factorization Approach (WSDM 2013)**
- Jaewon Yang and Jure Leskovec
- [[Paper]](http://i.stanford.edu/~crucis/pubs/paper-nmfagm.pdf)
- [[C++ Reference]](https://github.com/snap-stanford/snap/tree/master/examples/bigclam)
- [[Java Spark Reference]](https://github.com/thangdnsf/BigCLAM-ApacheSpark)
- [[Python Reference]](https://github.com/benedekrozemberczki/karateclub)
- [[Python Reference]](https://github.com/RobRomijnders/bigclam)
- [[Python Reference]](https://github.com/jeremyzhangsq/map-reduce-bigclam)
- **On the Statistical Detection of Clusters in Undirected Networks (Computation Statistics and Data Analysis 2013)**
- Marcus B. Perry, Gregory V. Michaelson, M. Allan Ballard
- [[Paper]](https://dl.acm.org/citation.cfm?id=2750189)
- [[C++ Reference]](https://github.com/alanballard/Likelihood-Based-Directed-Network-Clustering)
- **Symmetric Nonnegative Matrix Factorization for Graph Clustering (SDM 2012)**
- Da Kuang, Chris Ding, and Haesun Park
- [[Paper]](https://www.cc.gatech.edu/~hpark/papers/DaDingParkSDM12.pdf)
- [[Matlab Reference]](https://github.com/dakuang/symnmf)
- **A Model-based Approach to Attributed Graph Clustering (SIGMOID 2012)**
- Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, and James Cheng
- [[Paper]](http://www-std1.se.cuhk.edu.hk/~hcheng/paper/BAGC_sigmod12.pdf)
- [[Matlab Reference]](https://github.com/zhiqiangxu2001/BAGC)
- **Overlapping Community Detection Using Bayesian Non-negative Matrix Factorization (Physical Review E 2011)**
- Ionnis Psorakis, Stephen Roberts, Mark Ebden, and Ben Sheldon
- [[Paper]](http://www.orchid.ac.uk/eprints/38/1/PRE_NMF.pdf)
- [[Matlab Reference]](https://github.com/ipsorakis/commDetNMF)
## Deep Learning
- **Deep Multi-Graph Clustering via Attentive Cross-Graph Association (WSDM 2020)**
- Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu and Xiang Zhang
- [[Paper]](http://personal.psu.edu/dul262/dmgc.pdf)
- [[Python Reference]](https://github.com/flyingdoog/DMGC)
- **Overlapping Community Detection with Graph Neural Networks (MLGWorkShop 2019)**
- Oleksandr Shchur and Stephan Gunnemann
- [[Paper]](http://www.kdd.in.tum.de/research/nocd/)
- [[Python Reference]](https://github.com/shchur/overlapping-community-detection)
- [[Python]](https://github.com/EthanNing/Exp-GAE-model)
- **Supervised Community Detection with Line Graph Neural Networks (ICLR 2019)**
- Zhengdao Chen, Xiang Li, and Joan Bruna
- [[Paper]](https://arxiv.org/abs/1705.08415)
- [[LUA Reference]](https://github.com/joanbruna/GNN_community)
- [[Python Reference]](https://github.com/afansi/multiscalegnn)
- **CommunityGAN: Community Detection with Generative Adversarial Nets (ArXiv 2019)**
- Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang
- [[Paper]](https://arxiv.org/abs/1901.06631)
- [[Python Reference]](https://github.com/SamJia/CommunityGAN)
- **An Adaptive Graph Learning Method Based on Dual Data Representations for Clustering (Pattern Recognition 2018)**
- Tianchi Liu, Chamara Kasun, Liyanaarachchi Lekamalage Guang-Bin Huang, and Zhiping Lin
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0031320317304880)
- [[Matlab Reference]](https://github.com/liut0012/ELM-CLR)
- **Improving the Efficiency and Effectiveness of Community Detection via Prior-Induced Equivalent Super-Network (Scientific Reports 2017)**
- Liang Yang, Di Jin, Dongxiao He, Huazhu Fu, Xiaochun Cao, and Francoise Fogelman-Soulie
- [[Paper]](http://yangliang.github.io/pdf/sr17.pdf)
- [[Python Reference]](http://yangliang.github.io/code/SUPER.zip)
- **MGAE: Marginalized Graph Autoencoder for Graph Clustering (CIKM 2017)**
- Chun Wang, Shirui Pan, Guodong Long, Xingquabn Zhu, and Jing Jiang
- [[Paper]](https://dl.acm.org/citation.cfm?id=3132967)
- [[Matlab Reference]](https://github.com/FakeTibbers/MGAE)
- **Graph Clustering with Dynamic Embedding (Arxiv 2017)**
- Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han
- [[Paper]](https://arxiv.org/abs/1712.08249)
- [[Python Reference]](https://github.com/yangji9181/GRACE)
- **Modularity based Community Detection with Deep Learning (IJCAI 2016)**
- Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, and Weixiong Zhan
- [[Paper]](http://yangliang.github.io/pdf/ijcai16.pdf)
- [[Python Reference]](http://yangliang.github.io/code/DC.zip)
- **Learning Deep Representations for Graph Clustering (AAAI 2014)**
- Fei Tian, Bin Gao, Qing Cui, Enhong Chen, and Tie-Yan Liu
- [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8527)
- [[Python Reference]](https://github.com/quinngroup/deep-representations-clustering)
- [[Python Alternative]](https://github.com/zepx/graphencoder)
## Label Propagation, Percolation and Random Walks
- **Community Detection in Bipartite Networks by Multi Label Propagation Algorithm (JSAI 2019)**
- Hibiki Taguchi, Tsuyoshi Murata
- [[Paper]](https://confit.atlas.jp/guide/event/jsai2019/subject/4B2-J-3-02/detail)
- [[Python Reference]](https://github.com/hbkt/BiMLPA)
- **Constrained Local Graph Clustering by Colored Random Walk (WWW 2019)**
- Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee and Xiang Zhang
- [[Paper]](http://pike.psu.edu/publications/www19.pdf)
- [[Matlab Reference]](https://github.com/yanyaw/colored-random-walk)
- **Dynamic Graph-Based Label Propagation for Density Peaks Clustering (Expert Systems 2019)**
- Seyed Amjad Seyedi, Abdulrahman Lotfi, Parham Moradi and Nooruldeen Nasih Qader
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0957417418304998?via%3Dihub)
- [[Matlab Reference]](https://github.com/amjadseyedi/DPC-DLP)
- **Community Detection by Information Flow Simulation (ArXiv 2018)**
- Rajagopal Venkatesaramani and Yevgeniy Vorobeychik
- [[Paper]](https://arxiv.org/abs/1805.04920)
- [[Python Reference]](https://github.com/rajagopalvenkat/Community_Detection-Flow_Simulation)
- **Multiple Local Community Detection (ACM SIGMETRICS 2017)**
- Alexandre Hollocou, Thomas Bonald, and Marc Lelarge
- [[Paper]](https://hal.archives-ouvertes.fr/hal-01625444)
- [[Python Reference]](https://github.com/ahollocou/multicom)
- **Krylov Subspace Approximation for Local Community Detection in Large Networks (ArXiv 2017)**
- Kun He, Pan Shi, David Bindel, and John E. Hopcroft
- [[Paper]](https://arxiv.org/pdf/1712.04823.pdf)
- [[Matlab Reference]](https://github.com/PanShi2016/LOSP_Plus)
- **Many Heads are Better than One: Local Community Detection by the Multi-Walker Chain (ICDM 2017)**
- Yuchen Bian, Jingchao Ni, Wei Cheng, and Zhang Xiang
- [[Paper]](https://ieeexplore.ieee.org/document/8215474)
- [[C++ Reference]](https://github.com/flyingdoog/MWC)
- **Improving PageRank for Local Community Detection (ArXiv 2016)**
- Alexandre Hollocou, Thomas Bonald, and Marc Lelarge
- [[Paper]](https://arxiv.org/abs/1610.08722)
- [[C Reference]](https://github.com/ahollocou/walkscan)
- [[Python Reference]](https://github.com/ahollocou/walkscan)
- **Limited Random Walk Algorithm for Big Graph Data Clustering (Journal of Big Data 2016)**
- Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz, and Moncef Gabbouj
- [[Paper]](https://arxiv.org/abs/1606.06450)
- [[C++ Reference]](https://github.com/harleyzhang/LRW)
- **Community Detection Based on Structure and Content: A Content Propagation Perspective (ICDM 2015)**
- Liyuan Liu, Linli Xu, Zhen Wang, and Enhong Chen
- [[Paper]](https://liyuanlucasliu.github.io/pdf/Liyuan-Liu-ICDM.pdf)
- [[Matlab Reference]](https://github.com/LiyuanLucasLiu/Content-Propagation)
- **Modeling Community Detection Using Slow Mixing Random Walks (IEEE Big Data 2015)**
- Ramezan Paravi, Torghabeh Narayana, and Prasad Santhanam
- [[Paper]](https://ieeexplore.ieee.org/abstract/document/7364008)
- [[Python Reference]](https://github.com/paravi/MarovCommunity)
- **GossipMap: A Distributed Community Detection Algorithm for Billion-Edge Directed Graphs (SC 2015)**
- Seung-Hee Bae and Bill Howe
- [[Paper]](https://dl.acm.org/citation.cfm?id=2807668)
- [[C++ Reference]](https://github.com/uwescience/GossipMap)
- **Scalable Detection of Statistically Significant Communities and Hierarchies, Using Message Passing for Modularity (PNAS 2014)**
- Pan Zhang and Cristopher Moore
- [[Paper]](https://www.pnas.org/content/111/51/18144)
- [[Python]](https://github.com/weberfm/belief_propagation_community_detection)
- **Efficient Monte Carlo and Greedy Heuristic for the Inference of Stochastic Block Models (Phys. Rev. E 2014)**
- Tiago P. Peixoto
- [[Paper]](https://arxiv.org/pdf/1310.4378)
- [[Python Reference]](https://github.com/graphchallenge/GraphChallenge/tree/master/StochasticBlockPartition)
- **Overlapping Community Detection Using Seed Set Expansion (CIKM 2013)**
- Joyce Jiyoung Whang, David F. Gleich, and Inderjit S. Dhillon
- [[Paper]](http://www.cs.utexas.edu/~inderjit/public_papers/overlapping_commumity_cikm13.pdf)
- [[Python Reference]](https://github.com/pratham16/community-detection-by-seed-expansion)
- **Influence-Based Network-Oblivious Community Detection (ICDM 2013)**
- Nicola Barbieri, Francesco Bonchi, and Giuseppe Manco
- [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6729581)
- [[Java Reference]](https://github.com/gmanco/cwn)
- **SLPA: Uncovering Overlapping Communities in Social Networks via A Speaker-listener Interaction Dynamic Process (ICDMW 2011)**
- Jierui Xie, Boleslaw K Szymanski, and Xiaoming Liu
- [[Paper]](https://arxiv.org/pdf/1109.5720.pdf)
- [[Java Reference]](https://github.com/sebastianliu/SLPA-community-detection)
- [[Python Reference]](https://github.com/kbalasu/SLPA)
- [[C++ Reference]](https://github.com/arminbalalaie/graphlab-slpa)
- **On the Generation of Stable Communities of Users for Dynamic Mobile Ad Hoc Social Networks (IEEE ICOIN 2011)**
- Guillaume-Jean Herbiet and Pascal Bouvry
- [[Paper]](https://herbiet.gforge.uni.lu/research.html)
- [[Java Reference]](https://github.com/gjherbiet/gs-sharc)
- **SHARC: Community-Based Partitioning for Mobile Ad Hoc Networks Using Neighborhood Similarity (IEEE WoWMoM 2010)**
- Guillaume-Jean Herbiet and Pascal Bouvry
- [[Paper]](https://herbiet.gforge.uni.lu/research.html)
- [[Java Reference]](https://github.com/gjherbiet/gs-sharc)
- **Graph Clustering Based on Structural/Attribute Similarities (WSDM 2009)**
- Yang Zhou, Hong Cheng, Jeffrey Xu Yu
- [[Paper]](http://www.vldb.org/pvldb/2/vldb09-175.pdf)
- [[Python Reference]](https://github.com/zhanghuijun-hello/Graph-Clustering-Based-on-Structural-Attribute-Similarities-)
- **Bridge Bounding: A Local Approach for Efficient Community Discovery in Complex Networks (ArXiv 2009)**
- Symeon Papadopoulos, Andre Skusa, Athena Vakali, Yiannis Kompatsiaris, and Nadine Wagner
- [[Paper]](https://arxiv.org/abs/0902.0871)
- [[Java Reference]](https://github.com/kleinmind/bridge-bounding)
- **The Map Equation (The European Physical Journal Special Topics 2009)**
- Martin Rossvall, Daniel Axelsson, and Carl T Bergstrom
- [[Paper]](https://arxiv.org/abs/0906.1405)
- [[R Reference]](igraph.org/r/doc/cluster_infomap.html)
- [[C Reference]](http://igraph.org/c/)
- [[Python Reference]](https://github.com/Tavpritesh/MapEquation)
- **Biclique Communities (Physical Review E 2008)**
- Sune Lehmann, Martin Schwartz, and Lars Kai Hansen
- [[Paper]](https://www.researchgate.net/publication/23230281_Biclique_communities)
- [[R Reference]](https://github.com/hecking/bipartite_community_detection)
- **Chinese Whispers: an Efficient Graph Clustering Algorithm and its Application to Natural Language Processing Problems (HLT NAACL 2006)**
- Chris Biemann
- [[Paper]](http://www.aclweb.org/anthology/W06-3812)
- [[Python Reference]](https://github.com/sanmayaj/ChineseWhispers)
- [[Python Alternative]](https://github.com/nlpub/chinese-whispers-python)
- **Uncovering the Overlapping Community Structure of Complex Networks in Nature and Society (Nature 2005)**
- Gergely Palla, Imre Derenyi, Illes Farkas, Tamas Vicsek
- [[Paper]](https://www.researchgate.net/publication/7797121_Uncovering_the_overlapping_community_structure_of_complex_networks_in_nature_and_society)
- [[Python Reference]](https://github.com/nhanwei/k_clique_percolation_spark)
- **An Efficient Algorithm for Large-scale Detection of Protein Families (Nucleic Acids Research 2002)**
- Anton Enright, Stijn Van Dongen, and Christos Ouzounis
- [[Paper]](https://academic.oup.com/nar/article/30/7/1575/2376029)
- [[Python Reference]](https://github.com/HarshHarwani/markov-clustering-for-graphs)
- [[Python Reference]](https://github.com/lucagiovagnoli/Markov_clustering-Graph_API)
## Tensor Decomposition
- **Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection (TKDE 2018)**
- Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
- [[Paper]](https://arxiv.org/abs/1809.08353)
- [[Matlab reference]](https://github.com/bioannidis/Coupled_tensors_graphs)
- **Community Detection, Link Prediction, and Layer Interdependence in Multilayer Networks (Physical Review E 2017)**
- Caterina De Bacco, Eleanor A. Power, Daniel B. Larremore, and Cristopher Moore
- [[Paper]](https://arxiv.org/abs/1701.01369)
- [[Python Reference]](https://github.com/cdebacco/MultiTensor)
- **Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach (ICDM 2017)**
- Fatemeh Sheikholeslami and Georgios B. Giannakis
- [[Paper]](https://ieeexplore.ieee.org/document/8215485)
- [[Python Reference]](https://github.com/FatemehSheikholeslami/EgoTen)
- **Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs (ArXiV 2013)**
- Furong Huang and Animashree Anandkumar
- [[Paper]](https://www.semanticscholar.org/paper/Fast-Detection-of-Overlapping-Communities-via-on-Huang-Niranjan/356e6c7eacca6caa94a5a96f41a9c785064f5693)
- [[C++ Reference]](https://github.com/mapleyustat/Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods)
## Spectral Methods
- **Spectral Clustering in Heterogeneous Information Networks (AAAI 2019)**
- Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
- [[Paper]](https://www.aaai.org/ojs/index.php/AAAI/article/view/4328)
- [[Matlab Reference]](https://github.com/lixiang3776/SClump)
- [[Python Reference]](https://github.com/ameya98/PySClump)
- **Community Detection Over a Heterogeneous Population of Non-aligned Networks (Arxiv 2019)**
- Guilherme Gomes, Vinayak Rao, Jennifer Neville
- [[Paper]](https://arxiv.org/abs/1904.05332)
- [[Python Reference]](https://github.com/kurtmaia/JointSBM)
- **Spectral Rejection for Testing Hypotheses of Structure in Networks (Arxiv 2019)**
- Mark D. Humphries, Javier A. Caballero, Mat Evans, Silvia Maggi, Abhinav Singh
- [[Paper]](https://arxiv.org/abs/1901.04747)
- [[Matlab Reference]](https://github.com/mdhumphries/NetworkNoiseRejection)
- [[Python Reference]](https://github.com/thomasjdelaney/Network_Noise_Rejection_Python)
- **Spectral Clustering of Signed Graphs via Matrix Power Means (ICML 2019)**
- Pedro Mercado, Francesco Tudisco, Matthias Hein
- [[Paper]](https://arxiv.org/pdf/1905.06230v1.pdf)
- [[Matlab Reference]](https://github.com/melopeo/SPM)
- **A Unified Framework for Structured Graph Learning via Spectral Constraints (ArXiv 2019)**
- Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, and Daniel Palomar
- [[Paper]](https://arxiv.org/pdf/1904.09792.pdf)
- [[R Reference]](https://cran.r-project.org/web/packages/spectralGraphTopology/index.html)
- **An Ensemble Based on a Bi-objective Evolutionary Spectral Algorithm for Graph Clutering (ArXiv 2018)**
- Camila P.S. Tautenhain, Mariá C.V. Nascimento
- [[Paper]](https://arxiv.org/abs/1810.03652)
- [[C++ Reference]](https://github.com/camilapsan/MOSpecG_SpecG)
- **Hierarchical Community Detection by Recursive Partitioning (ArXiv 2018)**
- Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter J. Bickel, Elizaveta Levina
- [[Paper]](https://arxiv.org/abs/1810.01509)
- [[R Reference]](https://github.com/tianxili/HCD)
- **Scalable Spectral Clustering Using Random Binning Features (KDD 2018)**
- Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, and Charu Aggarwal
- [[Paper]](https://arxiv.org/abs/1805.11048)
- [[Matlab Reference]](https://github.com/IBM/SpectralClustering_RandomBinning)
- **Community Detection and Stochastic Block Models: Recent Developments (JMLR 2018)**
- Emmanuel Abbe
- [[Paper]](https://arxiv.org/pdf/1703.10146v1.pdf)
- [[Python Reference]](https://github.com/yashpatel5400/anonychain)
- **Understanding Regularized Spectral Clustering via Graph Conductance (NIPS 2018)**
- Yilin Zhang and Karl Rohe
- [[Paper]](https://arxiv.org/abs/1806.01468)
- [[Python Reference]](https://github.com/crisbodnar/regularised-spectral-clustering)
- **Locally-Biased Spectral Approximation for Community Detection (Knowledge-Based Systems 2018)**
- Pan Shi, Kun He, David Bindel, and John Hopcroft
- [[Paper]](https://pdfs.semanticscholar.org/d9e2/598b261a61c69d970e1c9eab7a50da4e458c.pdf)
- [[Matlab Reference]](https://github.com/PanShi2016/LBSA)
- **Community Detection on Euclidean Random Graphs (Electronic Journal of Statistics 2018)**
- Abishek Sankararaman and Francois Baccelli
- [[Paper]](http://abishek90.github.io/CommDet.pdf)
- [[Python Reference]](https://github.com/abishek90/Community-Detection-on-a-Spatial-Graph)
- **Community Detection by L0-Penalized Graph Laplacian (Electronic Journal of Statistics 2018)**
- Chong Chen, Ruibin Xi, and Nan Lin
- [[Paper]](https://projecteuclid.org/euclid.ejs/1528769122)
- [[Matlab Reference]](https://github.com/ChongC1990/L0Lap)
- **Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering (IEEE TSP 2018)**
- Pin-Yu Chen and Alfred O. Hero
- [[Paper]](https://arxiv.org/abs/1604.03159)
- [[Python Reference]](https://github.com/tgensol/AMOS)
- **An Algorithm J-SC of Detecting Communities in Complex Networks (Physics Letters A 2017)**
- Fang Hu, Mingzhu Wang, Yanran Wang, Zhehao Hong, and Yanhui Zhu
- [[Paper]](https://www.sciencedirect.com/science/article/abs/pii/S0375960117308678)
- [[Matlab reference]](https://github.com/yanhueiju/community_detection_J-SC)
- **Local Lanczos Spectral Approximation for Community Detection (ECML PKDD 2017)**
- Pan Shi, He Kun, David Bindel, and John Hopcroft
- [[Paper]](http://ecmlpkdd2017.ijs.si/papers/paperID161.pdf)
- [[Python Reference]](https://github.com/PanShi2016/LLSA)
- **AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering (ICASSP 2017)**
- Pin-Yu Chen, Thibaut Gensollen, and Alfred O. Hero III
- [[Paper]](https://arxiv.org/abs/1609.06457)
- [[Python Reference]](https://github.com/tgensol/AMOS)
- **Enhanced Community Detection in Social Networks Using Active Spectral Clustering (SAC 2016)**
- Sarah Habashi, Nagia M. Ghanem, and Mohamed A. Ismail
- [[Paper]](https://dl.acm.org/citation.cfm?id=2851987)
- [[Matlab Reference]](https://github.com/sarahelhammadi/CDASC)
- **Clustering Signed Networks with the Geometric Mean of Laplacians (NIPS 2016)**
- Pedro Mercado, Francesco Tudisco, and Matthias Hein
- [[Paper]](http://papers.nips.cc/paper/6164-clustering-signed-networks-with-the-geometric-mean-of-laplacians.pdf)
- [[Matlab Reference]](https://github.com/melopeo/GM)
- **Spectral Clustering with Graph Filtering and Landmark Based Representation (ICASSP 2016)**
- Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, and Pierre Vandergheynst
- [[Paper]](https://arxiv.org/pdf/1509.08863.pdf)
- [[Python Reference]](https://github.com/cylindricalcow/FastSpectralClustering)
- **Uncovering the Small Community Structure in Large Networks: a Local Spectral Approach (WWW 2015)**
- Li Yixuan, He Kun, David Bindel, and John Hopcroft
- [[Paper]](https://arxiv.org/abs/1509.07715)
- [[Python Reference]](https://github.com/YixuanLi/LEMON)
- **Large-Scale Multi-View Spectral Clustering via Bipartite Graph (AAAI 2015)**
- Yeqing Li, Feiping Nie, Heng Huang, and Junzhou Huang
- [[Paper]](https://pdfs.semanticscholar.org/9383/f08c697b8aa43782e16c9a57e089911584d8.pdf)
- [[Matlab Reference]](https://github.com/zzz123xyz/MVSC)
- **Constructing Robust Affinity Graphs for Spectral Clustering (CVPR 2014)**
- Xiatian Zhu1, Chen Change Loy, Shaogang Gong
- [[Paper]](https://www.zpascal.net/cvpr2014/Zhu_Constructing_Robust_Affinity_2014_CVPR_paper.pdf)
- [[Matlab Reference]](https://github.com/d12306/Constructing-Robust-Affinity-Graphs-for-Spectral-Clustering)
- **Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms (Arxiv 2014)**
- Se-Young Yun, Alexandre Proutiere
- [[Paper]](https://arxiv.org/abs/1412.7335)
- [[R Reference]](https://github.com/Jantg/Community_Detection)
- **Self-Taught Spectral Clustering via Constraint Augmentation (SDM 2014)**
- Xiang Wang, Jun Wang, Buyue Qian, Fei Wang and Ian Davidson
- [[Paper]](https://epubs.siam.org/doi/pdf/10.1137/1.9781611973440.48)
- [[Matlab Reference]](https://github.com/gnaixgnaw/CSP)
- **Multi-Objective Multi-View Spectral Clustering via Pareto Optimization (SDM 2013)**
- Xiang Wang, Buyue Qian, Jieping Ye, and Ian Davidson
- [[Paper]](http://www2.cs.uh.edu/~ceick/DM/P4_DM4.pdf)
- [[Matlab Reference]](https://github.com/gnaixgnaw/CSP)
- **Co-Clustering for Directed Graphs: the Stochastic Co-Blockmodel and Spectral Algorithm Di-Sim (ArXiv 2012)**
- Karl Rohe, Tai Qin, and Bin Yu
- [[Paper]](https://arxiv.org/abs/1204.2296)
- [[R Reference]](https://github.com/karlrohe/disim)
- **Asymptotic Analysis of the Stochastic Block Model for Modular Networks and its Algorithmic Applications (Physical Review 2011)**
- Aurelien Decelle, Florent Krzakala, Cristopher Moore, and Lenka Zdeborova
- [[Paper]](https://arxiv.org/abs/1109.3041)
- [[C++ Reference]](https://github.com/junipertcy/sbm-bp)
- **Phase Transition in the Detection of Modules in Sparse Networks (Physical Review Letters 2011)**
- Aurelien Decelle, Florent Krzakala, Cristopher Moore, and Lenka Zdeborova
- [[Paper]](https://arxiv.org/abs/1102.1182)
- [[C++ Reference]](https://github.com/junipertcy/sbm-bp)
- **Active Spectral Clustering (ICDM 2010)**
- Xiang Wang and Ian Davidson
- [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.299.7661&rep=rep1&type=pdf)
- [[Matlab Reference]](https://github.com/gnaixgnaw/CSP)
- **Flexible Constrained Spectral Clustering (KDD 2010)**
- Xiang Wang and Ian Davidson
- [[Paper]](http://web.cs.ucdavis.edu/~davidson/Publications/rp058d-wang.pdf)
- [[Matlab Reference]](https://github.com/gnaixgnaw/CSP)
- **Spectral Clustering Based on the Graph p-Laplacian (ICML 2009)**
- Thomas Buhler and Matthias Hein
- [[Paper]](https://www.ml.uni-saarland.de/Publications/BueHei-pSpectralClustering2009.pdf)
- [[Matlab Reference]](https://github.com/tbuehler/pSpectralClustering)
## Temporal Methods
- **DynComm R Package - Dynamic Community Detection for Evolving Networks (Arxiv 2019)**
- Rui Portocarrero Sarmento, Luís Lemos, Mário Cordeiro, Giulio Rossetti, and Douglas Cardoso
- [[Paper]](https://arxiv.org/abs/1905.01498)
- [[R Reference]](https://github.com/softskillsgroup/DynComm-R-package)
- **Block-Structure Based Time-Series Models For Graph Sequences (Arxiv 2018)**
- Mehrnaz Amjadi and Theja Tulabandhula
- [[Paper]](https://arxiv.org/pdf/1804.08796v2.pdf)
- [[Python Reference]](https://github.com/thejat/dynamic-network-growth-models)
- **DyPerm: Maximizing Permanence for Dynamic Community Detection (PKDD 2018)**
- Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty
- [[Paper]](https://arxiv.org/abs/1802.04593)
- [[Python Reference]](https://github.com/ayush14029/Dyperm-Code)
- **Temporally Evolving Community Detection and Prediction in Content-Centric Networks (ECML 2018)**
- Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal, and Marcela Megumi Terakado
- [[Paper]](https://arxiv.org/pdf/1807.06560v1.pdf)
- [[Python Reference]](https://github.com/renatolfc/chimera-stf)
- **A Streaming Algorithm for Graph Clustering (Arxiv 2017)**
- Alexandre Hollocou, Julien Maudet, Thomas Bonald and Marc Lelarge
- [[Paper]](https://arxiv.org/pdf/1712.04337v1.pdf)
- [[C++ Reference]](https://github.com/ahollocou/graph-streaming)
- **DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity (Arxiv 2017)**
- Di Zhuang, J. Morris Chang, Mingchen Li
- [[Paper]](https://arxiv.org/abs/1709.08350)
- [[Java Reference]](https://github.com/nogrady/dynamo)
- **Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models (Arxiv 2017)**
- Kevin H. Lee, Lingzhou Xue, and David R. Hunter
- [[Paper]](https://arxiv.org/abs/1712.07325)
- [[R Reference]](https://github.com/amalag-19/dynERGM_R)
- **Dynamic Community Detection Based on Network Structural Perturbation and Topological Similarity (Journal of Statistical Mechanics 2017)**
- Peizhuo Wang, Lin Gao and Xiaoke Ma
- [[Paper]](https://iopscience.iop.org/article/10.1088/1742-5468/2017/1/013401/meta)
- [[Matlab Reference]](https://github.com/WPZgithub/ESPRA)
- **RDYN: Graph Benchmark Handling Community Dynamics (Arxiv 2017)**
- Giulio Rossetti
- [[Paper]](https://academic.oup.com/comnet/article/5/6/893/3925036)
- [[Python Reference]](https://github.com/GiulioRossetti/RDyn)
- **Sequential Detection of Temporal Communities by Estrangement Confinement (Scientific Reports 2012)**
- Vikas Kawadia and Sameet Sreenivasan
- [[Paper]](https://www.nature.com/articles/srep00794)
- [[Python Reference]](https://github.com/kawadia/estrangement)
- **GraphScope: Parameter-Free Mining of Large Time-Evolving Graphs (KDD 2007)**
- Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, and Philip S. Yu
- [[Paper]](https://dl.acm.org/citation.cfm?id=1281266)
- [[Java Reference]](https://github.com/sarovios/social-graph-cluster)
## Cyclic Patterns
- **DAOC: Stable Clustering of Large Networks (Phys. Rev E 2019)**
- Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
- [[Paper]](https://arxiv.org/abs/1909.08786)
- [[C++ Reference]](https://github.com/eXascaleInfolab/daoc)
- **Fast Consensus Clustering in Complex Networks (Phys. Rev E 2019)**
- Aditya Tandon, Aiiad Albeshri, Vijey Thayananthan, Wadee Alhalabi, Santo Fortunato
- [[Paper]](https://arxiv.org/abs/1902.04014)
- [[Python Reference]](https://github.com/adityat/fastconsensus)
- **EdMot: An Edge Enhancement Approach for Motif-aware Community Detection (KDD 2019)**
- Pei-Zhen Li, Ling Huang, Chang-Dong Wang, and Jian-Huang Lai
- [[Paper]](https://arxiv.org/abs/1906.04560)
- [[Python Reference]](https://github.com/benedekrozemberczki/EdMot)
- [[Matlab Reference]](https://github.com/lipzh5/EdMot_pro)
- **From Louvain to Leiden: Guaranteeing Well-connected Communities (Scientific Reports 2019)**
- Vincent Traag, Ludo Waltman, Nees Jan van Eck
- [[Paper]](https://arxiv.org/abs/1810.08473)
- [[C++ Reference]](https://github.com/vtraag/leidenalg)
- [[Julia Reference]](https://github.com/bicycle1885/Leiden.jl)
- **Anti-community Detection in Complex Networks (SSDBM 2018)**
- Sebastian Lackner, Andreas Spitz, Matthias Weidemüller and Michael Gertz
- [[Paper]](https://dbs.ifi.uni-heidelberg.de/files/Team/slackner/publications/Lackner_et_al_2018_Anti_Communities.pdf)
- [[C Reference]](https://github.com/slackner/anti-community/)
- **Adaptive Modularity Maximization via Edge Weighting Scheme (Information Sciences 2018)**
- Xiaoyan Lu, Konstantin Kuzmin, Mingming Chen, and Boleslaw K Szymanski
- [[Paper]](https://link.springer.com/chapter/10.1007/978-3-319-72150-7_23)
- [[Python Reference]](https://github.com/xil12008/adaptive_modularity)
- **Semi-Supervised Community Detection Using Structure and Size (ICDM 2018)**
- Arjun Bakshi, Srinivasan Parthasarathy, and Kannan Srinivasan
- [[Paper]](!!Missing!!)
- [[Python Reference]](https://github.com/abaxi/bespoke-icdm18)
- [[Python]](https://github.com/yzhang1918/bespoke-sscd)
- **Graph Sketching-based Space-efficient Data Clustering (SDM 2018)**
- Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
- [[Paper]](https://epubs.siam.org/doi/pdf/10.1137/1.9781611975321.2)
- [[Python Reference]](https://github.com/annemorvan/DBMSTClu)
- **Hierarchical Graph Clustering using Node Pair Sampling (Arxiv 2018)**
- Thomas Bonald, Bertrand Charpentier, Alexis Galland and Alexandre Hollocou
- [[Paper]](https://arxiv.org/pdf/1806.01664v2.pdf)
- [[Python Reference]](https://github.com/tbonald/paris)
- **Priority Based Clustering in Weighted Graph Streams (JISE 2018)**
- Mohsen Saadatpour, Sayyed Kamyar Izadi, Mohammad Nasirifar, and Hamed Kavoosi
- [[Paper]](https://www.researchgate.net/publication/326622737_Priority-based_clustering_in_weighted_graph_streams)
- [[Java Reference]](https://github.com/farnasirim/pri-bas-clu)
- **Graph Learning for Multiview Clustering (IEEE Transactions on Cybernetics 2017)**
- Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, and Jamal Atif
- [[Paper]](https://link.springer.com/chapter/10.1007/978-3-319-72150-7_23)
- [[Matlab Reference]](https://github.com/kunzhan/MVGL)
- **DCEIL: Distributed Community Detection with the CEIL Score (IEEE HPCC 2017)**
- Akash Jain, Rupesh Nasre, Balaraman Ravindran
- [[Paper]](https://ieeexplore.ieee.org/document/8291922)
- [[Java Reference]](https://github.com/RBC-DSAI-IITM/DCEIL)
- **A Community Detection Algorithm Using Network Topologies and Rule-Based Hierarchical Arc-Merging Strategies (PLOS One 2017)**
- Yu-Hsiang Fu, Chung-Yuan Huang, and Chuen-Tsai Sun
- [[Paper]](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187603)
- [[Python Reference]](https://github.com/yuhsiangfu/Hierarchical-Arc-Merging)
- **Local Higher-Order Graph Clustering (KDD 2017)**
- Hao Yin, Austin Benson, Jure Leskovec, and David Gleich
- [[Paper]](https://cs.stanford.edu/~jure/pubs/mappr-kdd17.pdf)
- [[Python Reference]](https://github.com/thecamelrider/MAPPR-Community-detection)
- [[C++ SNAP Reference]](http://snap.stanford.edu/mappr/code.html)
- **ComSim: A Bipartite Community Detection Algorithm Using Cycle and Node’s Similarity (Complex Networks 2017)**
- Raphael Tack, Fabien Tarissan, and Jean-Loup Guillaume
- [[Paper]](https://arxiv.org/pdf/1705.04863.pdf)
- [[C++ Reference]](https://github.com/rtackx/ComSim)
- **Discovering Community Structure in Multilayer Networks (DSAA 2017)**
- Soumajit Pramanik, Raphael Tackx, Anchit Navelkar, Jean-Loup Guillaume, Bivas Mitra
- [[Paper]](https://ieeexplore.ieee.org/abstract/document/8259823)
- [[Python Reference]](https://github.com/Soumajit-Pramanik/Multilayer-Louvain)
- **Evolutionary Graph Clustering for Protein Complex Identification (IEEE Transactions on Computational Biology and Bioinformatics 2016)**
- Tiantian He and Keith C.C. Chan
- [[Paper]](https://ieeexplore.ieee.org/document/7792218)
- [[Java Reference]](https://github.com/he-tiantian/EGCPI)
- **pSCAN: Fast and Exact Structural Graph Clustering (ICDE 2016)**
- T Lijun Chang, Wei Li, Xuemin Lin, Lu Qin, and Wenjie Zhang
- [[Paper]](https://ieeexplore.ieee.org/document/7498245)
- [[C++ Reference]](https://github.com/LijunChang/pSCAN)
- [[Scala]](https://github.com/dawnranger/spark-pscan)
- **Node-Centric Detection of OverlappingCommunities in Social Networks (IWSCN 2016)**
- Yehonatan Cohen, Danny Hendler, Amir Rubin
- [[Paper]](https://arxiv.org/pdf/1607.01683.pdf)
- [[Java Reference]](https://github.com/amirubin87/NECTAR)
- **Graph Clustering with Density-Cut (Arxiv 2016)**
- Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer
- [[Paper]](https://arxiv.org/abs/1606.00950)
- [[Go Reference]](https://github.com/askiada/GraphDensityCut)
- **Community Detection in Directed Acyclic Graphs (European Physical Journal B 2015)**
- Leo Speidel, Taro Takaguchi, Naoki Masuda
- [[Paper]](https://link.springer.com/article/10.1140/epjb/e2015-60226-y)
- [[Python Reference]](https://github.com/leospeidel/dag_community_paper)
- **Intra-Graph Clustering Using Collaborative Similarity Measure (DPCD 2015)**
- Waqas Nawaz, Kifayat-Ullah Khan, Young-Koo Lee, and Sungyoung Lee
- [[Paper]](https://link.springer.com/article/10.1007/s10619-014-7170-x)
- [[Java Reference]](https://github.com/WNawaz/CSM)
- **K-Clique Community Detection in Social NetworksBased on Formal Concept Analysis (IEEE Systems 2015)**
- Fei Hao, Geyong Min, Zheng Pei, Doo-Soon Park, Laurence T. Yang
- [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7117352&tag=1)
- [[Python Reference]](https://github.com/indiansher/k-clique-community-detection-spark)
- **High Quality, Scalable and Parallel Community Detection for Large Real Graphs (WWW 2014)**
- Arnau Prat-Perez David Dominguez-Sal and Josep-Lluis Larriba-Pey
- [[Paper]](http://wwwconference.org/proceedings/www2014/proceedings/p225.pdf)
- [[C++ Reference]](https://github.com/Het-SCD/Het-SCD)
- **GMAC: A Seed-Insensitive Approach to Local Community Detection (DaWak 2013)**
- Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, and Yanzhe Che
- [[Paper]](https://link.springer.com/chapter/10.1007/978-3-642-40131-2_26)
- [[Python Reference]](https://github.com/SnehaManjunatha/Local-Community-Detection)
- **On the Maximum Quasi-Clique Problem (Discrete Applied Mathematics 2013)**
- Jeffrey Pattillo, Alexander Veremyev, Sergiy Butenko, and Vladimir Boginski
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0166218X12002843)
- [[Python Reference]](https://github.com/vishwass/QUAC)
- **Community Detection in Networks with Node Attributes (ICDM 2013)**
- Jaewon Yang, Julian McAuley, and Jure Leskovec
- [[Paper]](https://www-cs.stanford.edu/~jure/pubs/cesna-icdm13.pdf)
- [[C++ Reference]](https://github.com/snap-stanford/snap/tree/master/examples/cesna)
- **Detecting the Structure of Social Networks Using (α,β)-Communities (IWAMW 2011)**
- Jing He, John Hopcroft, Liang Hongyu, Supasorn Suwajanakorn, and Liaoruo Wang
- [[Paper]](https://ecommons.cornell.edu/bitstream/handle/1813/22415/WAW2011.pdf?sequence=2&isAllowed=y)
- [[Python Reference]](https://github.com/handasontam/Alpha-Beta-Communities)
- **Multi-Netclust: An Efficient Tool for Finding Connected Clusters in Multi-Parametric Networks (IWAMW 2011)**
- Arnold Kuzniar, Somdutta Dhir, Harm Nijveen, Sándor Pongor, Jack A.M. Leunissen
- [[Paper]](https://www.ncbi.nlm.nih.gov/pubmed/20679333)
- [[C Reference]](https://github.com/arnikz/netclust)
- **Detecting Communities in Networks by Merging Cliques (IEEE ICICISYS 2009)**
- Bowen Yan and Steve Gregory
- [[Paper]](https://ieeexplore.ieee.org/abstract/document/5358036)
- [[Java Reference]](https://github.com/bowenyan/CommunityDetection-CliqueMod)
- **Fast Unfolding of Communities in Large Networks (Journal of Statistical Mechanics 2008)**
- Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Renaud Lefebvre
- [[Paper]](https://arxiv.org/abs/0803.0476)
- [[Python]](https://python-louvain.readthedocs.io/en/latest/)
- [[Python]](https://github.com/tsakim/Shuffled_Louvain)
- [[C++ Parallel]](https://github.com/Exa-Graph/vite)
- [[C++]](https://github.com/Sotera/spark-distributed-louvain-modularity)
- [[Javascript]](https://github.com/upphiminn/jLouvain)
- [[Javascript]](https://github.com/multivacplatform/louvain)
- [[Java]](https://github.com/JoanWu5/Louvain)
- [[Matlab]](https://github.com/JoanWu5/Louvain)
- [[Matlab]](https://github.com/BigChopH/Louvain-clustering)
- [[Scala]](https://github.com/Sotera/spark-distributed-louvain-modularity)
- [[Rust]](https://github.com/graphext/louvain-rs)
- **Modularity and Community Detection in Bipartite Networks (Phys. Rev. E 2007)**
- Michael J. Barber
- [[Paper]](https://arxiv.org/abs/0707.1616)
- [[Python Reference]](https://github.com/genisott/pycondor)
## Centrality and Cuts
- **A Novel Graph-based Clustering Method Using Noise Cutting (Information Systems 2020)**
- Lin-Tao Li, Zhong-Yang Xiong, Qi-Zhu Dai, Yong-Fang Zha. Yu-Fang Zhang, Jing-Pei Dan
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0306437920300156)
- [[Matlab Reference]](https://github.com/lintao6/CutPC)
- **Hypergraph Clustering with Categorical Edge Labels (Arxiv 2019)**
- Ilya Amburg, Nate Veldt, Austin R. Benson
- [[Paper]](https://arxiv.org/pdf/1910.09943.pdf)
- [[Julia Reference]](https://github.com/nveldt/CategoricalEdgeClustering)
- **Learning Resolution Parameters for Graph Clustering (WWW 2019)**
- Nate Veldt, David F. Gleich, Anthony Wirth
- [[Paper]](https://arxiv.org/abs/1903.05246)
- [[Julia Reference]](https://github.com/nveldt/LearnResParams)
- **Parallelizing Pruning-based Graph Structural Clustering (ICPP 2018)**
- Yulin Che, Shixuan Sun, and Qiong Luo
- [[Paper]](https://dl.acm.org/citation.cfm?doid=3225058.3225063)
- [[C++ Reference]](https://github.com/GraphProcessor/ppSCAN)
- **Real-Time Community Detection in Large Social Networks on a Laptop (PLOS 2018)**
- Benjamin Paul Chamberlain, Josh Levy-Kramer, Clive Humby, and Marc Peter Deisenroth
- [[Paper]](https://arxiv.org/pdf/1601.03958.pdf)
- [[Python Reference]](https://github.com/melifluos/LSH-community-detection)
- **A Polynomial Algorithm for Balanced Clustering via Graph Partitioning (EJOR 2018)**
- Luis-Evaristo Caraballo, José-Miguel Díaz-Báñez, Nadine Kroher
- [[Paper]](https://arxiv.org/abs/1801.03347)
- [[Python Reference]](https://github.com/varocaraballo/graph_partition_clustering)
- **A Community Detection Algorithm Using Network Topologies and Rule-based Hierarchical Arc-merging Strategies (PLOS 2018)**
- Yu-Hsiang Fu, Chung-Yuan Huang, and Chuen-Tsai Sun
- [[Paper]](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187603)
- [[Python Reference]](https://github.com/yuhsiangfu/Hierarchical-Arc-Merging)
- **Hidden Community Detection in Social Networks (Information Sciences 2018)**
- Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft
- [[Paper]](https://arxiv.org/pdf/1702.07462v1.pdf)
- [[Python Reference]](https://github.com/JHL-HUST/HiCode)
- **Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters (KDD 2017)**
- Alessandro Epasto, Silvio Lattanzi, and Renato Paes Leme
- [[Paper]](https://www.eecs.yorku.ca/course_archive/2017-18/F/6412/reading/kdd17p145.pdf)
- [[Python Reference]](https://github.com/benedekrozemberczki/EgoSplitting)
- **Query-oriented Graph Clustering (PAKDD 2017)**
- Li-Yen Kuo, Chung-Kuang Chou, and Ming-Syan Chen
- [[Paper]](https://link.springer.com/chapter/10.1007/978-3-319-57529-2_58)
- [[Python Reference]](https://github.com/iankuoli/QGC)
- **Fast Heuristic Algorithm for Multi-scale Hierarchical Community Detection (ASONAM 2017)**
- Eduar Castrillo, Elizabeth León, and Jonatan Gómez
- [[Paper]](https://dl.acm.org/citation.cfm?doid=3110025.3110125)
- [[C++ Reference]](https://github.com/eduarc/WMW)
- **Community Detection in Signed Networks: the Role of Negative Ties in Different Scales (Scientific Reports 2015)**
- Pouya Esmailian and Mahdi Jalili
- [[Paper]](https://www.nature.com/articles/srep14339)
- [[Java Reference]](https://github.com/pouyaesm/signed-community-detection)
- **Detecting Community Structures in Social Networks by Graph Sparsification (CODS 2016)**
- Partha Basuchowdhuri, Satyaki Sikdar, Sonu Shreshtha, and Subhasis Majumder
- [[Paper]](http://dl.acm.org/citation.cfm?id=2888479)
- [[Python Reference]](https://github.com/satyakisikdar/spanner-comm-detection)
- **Community Detection in Complex Networks Using Density-Based Clustering Algorithm and Manifold Learning (Physica A 2016)**
- Tao Youa, Hui-Min Chenga, Yi-Zi Ninga, Ben-Chang Shiab, and Zhong-Yuan Zhang
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0378437116304563)
- [[Matlab Reference]](https://github.com/isaac-you/IsoFpd)
- **Smart Partitioning of Geo-Distributed Resources to Improve Cloud Network Performance (CloudNet 2015)**
- Hooman Peiro Sajjad, Fatemeh Rahimian, and Vladimir Vlassov
- [[Paper]](https://ieeexplore.ieee.org/document/7335292)
- [[Java Reference]](https://github.com/shps/mdc-community-detection)
- **Generalized Modularity for Community Detection (ECML 2015)**
- Mohadeseh Ganji, Abbas Seifi, Hosein Alizadeh, James Bailey, and Peter J. Stuckey
- [[Paper]](https://people.eng.unimelb.edu.au/mganji/papers/ECML15.pdf)
- [[Python Reference]](https://github.com/xiaoylu/ResolutionCommunityDetection)
- **General Optimization Technique for High-quality Community Detection in Complex Networks (Physical Review E 2014)**
- Stanislav Sobolevsky, Riccardo Campari, Alexander Belyi, and Carlo Ratti
- [[Paper]](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.012811)
- [[Python Reference]](https://github.com/Casyfill/pyCombo)
- **Online Community Detection for Large Complex Networks (IJCAI 2013)**
- Wangsheng Zhang, Gang Pan, Zhaohui Wu and Shijian Li
- [[Paper]](https://www.ijcai.org/Proceedings/13/Papers/281.pdf)
- [[C++ Reference]](https://github.com/isaac-you/IsoFpd)
- **Agglomerative Clustering via Maximum Incremental Path Integral (Pattern Recognition 2013)**
- Wei Zhang, Deli Zhao, and Xiaogang Wang
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0031320313001830)
- [[Matlab Reference]](https://github.com/waynezhanghk/gactoolbox)
- **Graph Degree Linkage: Agglomerative Clustering on a Directed Graph (ECCV 2012)**
- Wei Zhang, Xiaogang Wang, Deli Zhao and Xiaoou Tang
- [[Paper]](https://arxiv.org/abs/1208.5092)
- [[Matlab Reference]](https://github.com/waynezhanghk/gactoolbox)
- [[Python Reference]](https://github.com/myungjoon/GDL)
- **Weighted Graph Cuts without Eigenvectors a Multilevel Approach (IEEE TPAMI 2007)**
- Inderjit S Dhillon, Brian Kulis, and Yuqiang Guan
- [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4302760)
- [[C Reference]](https://github.com/iromu/Graclus)
## Physics Inspired
- **Community Detection Using Preference Networks (Physica A 2018)**
- Mursel Tasgin and Halu Bingol
- [[Paper]](https://arxiv.org/pdf/1708.08305.pdf)
- [[Java Reference]](https://github.com/murselTasginBoun/CDPN)
- **Thermodynamics of the Minimum Description Length on Community Detection (ArXiv 2018)**
- Juan Ignacio Perotti, Claudio Juan Tessone, Aaron Clauset and Guido Caldarelli
- [[Paper]](https://arxiv.org/pdf/1806.07005.pdf)
- [[Python Reference]](https://github.com/jipphysics/bmdl_edm)
- **Fluid Communities: A Community Detection Algorithm (CompleNet 2017)**
- Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonatan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés and Toyotaro Suzumura
- [[Paper]](https://arxiv.org/abs/1703.09307)
- [[Python Reference]](https://github.com/HPAI-BSC/Fluid-Communities)
- **A Local Perspective on Community Structure in Multilayer Networks (Network Science 2017)**
- Lucas GS Jeub, Michael Mahoney, Peter J Mucha and Mason A Porter
- [[Paper]](https://arxiv.org/pdf/1510.05185.pdf)
- [[Python Reference]](https://github.com/LJeub/LocalCommunities)
- **BlackHole: Robust community detection inspired by graph drawing (ICDE 2016)**
- Sungsu Lim, Junghoon Kim, and Jae-Gil Lee
- [[Paper]](https://ieeexplore.ieee.org/document/7498226)
- [[C++ Reference]](https://github.com/thousfeet/Blackhole-Community-detection)
- **Defining Least Community as a Homogeneous Group in Complex Networks (Physica A 2015)**
- Renaud Lambiotte, J-C Delvenne, and Mauricio Barahona
- [[Paper]](https://arxiv.org/pdf/1502.00284.pdf)
- [[Python Reference]](https://github.com/dingmartin/HeadTailCommunityDetection)
- **Community Detection Based on Distance Dynamics (KDD 2015)**
- Shao Junming, Han Zhichao, Yang Qinli, and Zhou Tao
- [[Paper]](https://dl.acm.org/citation.cfm?id=2783301)
- [[Python Reference]](https://github.com/chocolates/Community-detection-based-on-distance-dynamics)
- **Think Locally, Act Locally: Detection of Small, Medium-Sized, and Large Communities in Large Networks (Physica Review E 2015)**
- Lucas G. S. Jeub, Prakash Balachandran, Mason A. Porter, Peter J. Mucha, and Michael W. Mahoney
- [[Paper]](https://arxiv.org/abs/1403.3795v1)
- [[Python Reference]](https://github.com/LJeub/LocalCommunities)
- **Detecting Community Structure Using Label Propagation with Weighted Coherent Neighborhood Propinquity (Physica A 2013)**
- Hao Lou, Shenghong Li, and Yuxin Zhao
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0378437113002173)
- [[Java Reference]](https://github.com/mahdiabdollahpour/Detecting-Community-Structure/tree/master/src)
- **Parallel Community Detection on Large Networks with Propinquity Dynamics (KDD 2009)**
- Yuzhou Zhang, Jianyong Wang, Yi Wang, and Lizhu Zhou
- [[Paper]](https://grid.cs.gsu.edu/~myan2/communitydetection/16.pdf)
- [[Java Reference]](https://github.com/csdashes/GraphStreamCommunityDetection)
- **Laplacian Dynamics and Multiscale Modular Structure in Networks (IEEE TNSE 2008)**
- Renaud Lambiotte, J-C Delvenne, and Mauricio Barahona
- [[Paper]](https://arxiv.org/abs/0812.1770v3)
- [[R Reference]](https://github.com/buzzlumberjack/Communities-Detection)
- **Statistical Mechanics of Community Detection (Phyics Review E 2006)**
- Jorh Reichardt and Stefan Bornholdt
- [[Paper]](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.74.016110)
- [[Ruby Reference]](https://github.com/duett/community-detection)
## Others
- **Ensemble Clustering for Graphs: Comparisons and Applications (Applied Network Science 2019)**
- Valérie Poulin and François Théberge
- [[Paper]](https://arxiv.org/abs/1809.05578)
- [[Python Reference]](https://github.com/ftheberge/Ensemble-Clustering-for-Graphs)
- **CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs (Knowledge-Based Systems 2019)**
- Alper Aksac, Tansel Özyer, Reda Alhajja
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0031320319302468)
- [[Python Reference]](https://github.com/alperaksac/cutESC)
- **A Study of Graph-based System for Multi-view Clustering (Knowledge-Based Systems 2019)**
- Hao Wang, Yan Yang, BingLiu, Hamido Fujita
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0950705118305082)
- [[Python Reference]](https://github.com/cswanghao/gbs)
- **Learning Resolution Parameters for Graph Clustering (WWW 2019)**
- Nate Veldt, David Gleich, Anthony Wirth
- [[Paper]](https://arxiv.org/abs/1903.05246)
- [[Julia Reference]](https://github.com/nveldt/LearnResParams)
- **Multiview Consensus Graph Clustering (IEEE TIP 2019)**
- Kun Zhan and Feiping Nie and Jing Wang and Yi Yang
- [[Paper]](https://www.ncbi.nlm.nih.gov/pubmed/30346283)
- [[Matlab Reference]](https://github.com/kunzhan/MCGC)
- **CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs (Knowledge-Based Systems 2019)**
- Alper Aksac, Tansel Özyer, Reda Alhajja
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0031320319302468)
- [[Python Reference]](https://github.com/alperaksac/cutESC)
- **Clubmark - Bench bencmarking Framework for the Clustering Algorithms Evaluation (ICDM 2018)**
- Artem Lutov, Mourad Khayati, Philippe Cudre-Mauroux
- [[Paper]](https://github.com/eXascaleInfolab/clubmark/blob/master/docs/clubmark.pdf)
- [[Python Reference]](https://github.com/eXascaleInfolab/clubmark/tree/master/algorithms)
- **The Difference Between Optimal and Germane Communities (Social Network Analysis and Mining 2018)**
- Jerry Scripps, Christian TrefftzZachary Kurmas
- [[Paper]](https://link.springer.com/article/10.1007/s13278-018-0522-1)
- [[Java Reference]](https://cis.gvsu.edu/~scrippsj/pubs/software.htm)
- **Discovering Fuzzy Structural Patterns for Graph Analytics (IEEE TFS 2018)**
- Tiantian He and Keith C. C. Chan
- [[Paper]](https://ieeexplore.ieee.org/document/8253904)
- [[Executable Reference]](https://github.com/he-tiantian/FSPGA)
- **Wiring Together Large Single-Cell RNA-Seq Sample Collections (biorxiv 2018)**
- Nikolas Barkas, Viktor Petukhov, Daria Nikolaeva, Yaroslav Lozinsky, Samuel Demharter, Konstantin Khodosevich, Peter V. Kharchenko
- [[Paper]](https://www.biorxiv.org/content/10.1101/460246v1)
- [[C++]](https://github.com/hms-dbmi/conos)
- **Watset: Automatic Induction of Synsets for a Graph of Synonyms (ACL 2017)**
- Dmitry Ustalov, Alexander Panchenko, and Chris Biemann
- [[Paper]](https://doi.org/10.18653/v1/P17-1145)
- [[Python Reference]](https://github.com/dustalov/watset)
- [[Java Reference]](https://github.com/nlpub/watset-java)
- **An Overlapping Community Detection Algorithm Based on Density Peaks (NeuroComputing 2017)**
- Xueying Bai, Peilin Yang, and Xiaohu Shi
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S092523121631400X)
- [[Matlab Reference]](https://github.com/XueyingBai/An-overlapping-community-detection-algorithm-based-on-density-peaks)
- **Fast Heuristic Algorithm for Multi-scale Hierarchical Community Detection (ASONAM 2017)**
- Eduar Castrillo, Elizabeth León, and Jonatan Gómez
- [[Paper]](https://arxiv.org/abs/1707.02362)
- [[C++ Reference]](https://github.com/eduarc/HAMUHI)
- **Time Series Clustering via Community Detection in Networks (Information Sciences 2016)**
- Leonardo N. Ferreira and Liang Zhao
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S002002551500554X)
- [[R Reference]](https://github.com/lnferreira/time_series_clustering_via_community_detection)
- **Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression (New Generation Computing 2016)**
- Xin Liu, Weichu Liu, Tsuyoshi Murata, and Ken Wakita
- [[Paper]](https://link.springer.com/article/10.1007/s00354-016-0206-1)
- [[Scala Reference]](https://github.com/weichuliu/hetero_scala)
- **Integration of Graph Clustering with Ant Colony Optimization for Feature Selection (Knowledge-Based Systems 2015)**
- Parham Moradi, Mehrdad Rostami
- [[Paper]](http://www.sciencedirect.com/science/article/pii/S0950705115001458)
- [[Matlab Reference]](https://github.com/XuesenYang/Graph-clustering-with-ant-colony-optimization-for-feature-selection)
- **Greedy Discrete Particle Swarm Optimization for Large-Scale Social Network Clustering (Information Sciences 2015)**
- Qing Cai, Maoguo Gong, Lijia Ma, Shasha Ruan, Fuyan Yuan, Licheng Jiao
- [[Paper]](https://www.sciencedirect.com/science/article/pii/S0020025514009530)
- [[C++ Reference]](https://github.com/doctor-cai/GDPSO)
- **Community Detection via Maximization of Modularity and Its Variants (IEEE TCSS 2014)**
- Mingming Chen, Konstantin Kuzmin, and Boleslaw K. Szymanski
- [[Paper]](https://www.cs.rpi.edu/~szymansk/papers/TCSS-14.pdf)
- [[Python Reference]](https://github.com/itaneja2/community-detection)
- **A Smart Local Moving Algorithm for Large-Scale Modularity-Based Community Detection (The European Physical Journal B 2013)**
- Ludo Waltman and Nees Jan Van Eck
- [[Paper]](https://link.springer.com/content/pdf/10.1140/epjb/e2013-40829-0.pdf)
- [[R Reference]](https://github.com/chen198328/slm)
- [[Python Reference]](https://github.com/iosonofabio/slmpy)
- **Bayesian Hierarchical Community Discovery (NIPS 2013)**
- Charles Blundell and Yee Whye Teh
- [[Paper]](http://papers.nips.cc/paper/5048-bayesian-hierarchical-community-discovery.pdf)
- [[Python Reference]](https://github.com/krzychu/bhcd/)
- [[C++ Reference]](https://github.com/blundellc/bhcd/)
- **Efficient Discovery of Overlapping Communities in Massive Networks (PNAS 2013)**
- Prem K. Gopalan and David M. Blei
- [[Paper]](https://www.pnas.org/content/110/36/14534)
- [[C++ Reference]](https://github.com/premgopalan/svinet)
- **Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition (IEEE Trans. Evolutionary Computation 2013)**
- Maoguo Gong, Qing Cai, Xiaowei Chen, and Lijia Ma
- [[Paper]](https://ieeexplore.ieee.org/document/6510542?reason=concurrency)
- [[C++ Reference]](https://github.com/doctor-cai/MODPSO)
- **An Efficient and Principled Method for Detecting Communities in Networks (Physical Review E 2011)**
- Brian Ball, Brian Karrer, M. E. J. Newman
- [[Paper]](https://arxiv.org/pdf/1104.3590.pdf)
- [[C++ Reference]](http://www.personal.umich.edu/~mejn/OverlappingLinkCommunities.zip)
- [[Python Reference]](https://github.com/Zabot/principled_clustering)
- **A Game-Theoretic Approach to Hypergraph Clustering (NIPS 2009)**
- Samuel R. Bulò and Marcello Pelillo
- [[Paper]](https://papers.nips.cc/paper/3714-a-game-theoretic-approach-to-hypergraph-clustering)
- [[Matlab Reference]](https://github.com/Schofield-Mao/Gametheory-Clustring)