Awesome Deep Community Detection

A collection of papers on deep learning for community detection.

Awesome Deep Community Detection

Survey

A Comprehensive Survey on Community Detection with Deep Learning. 28 Pages, arXiv 2021. Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu. [Paper]

Link: https://arxiv.org/abs/2105.12584

@inproceedings{su2021survey,
	author = {Su, Xing and Xue, Shan and Liu, Fanzhen and Wu, Jia and Yang, Jian and 
	Zhou, Chuan and Hu, Wenbin and Paris, Cecile and Nepal, Surya and Jin, Di and 
	Sheng, Quan Z. and Yu, Philip S.},
	eprint={2105.12584},
	archivePrefix={arXiv},
	title = {A Comprehensive Survey on Community Detection with Deep Learning},
	year = {2021},
}

Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI 2020. Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Jian Yang, Philip S. Yu. [Paper] [AI科技评论]

Link: https://www.ijcai.org/Proceedings/2020/693

@inproceedings{ijcai2020-693,
	author = {Liu, Fanzhen and Xue, Shan and Wu, Jia and Zhou, Chuan and Hu, Wenbin and 
	Paris, Cecile and Nepal, Surya and Yang, Jian and Yu, Philip S.},
	booktitle  = {Proceedings of the Twenty-Ninth International Joint Conference on
	Artificial Intelligence, {IJCAI-20}},
	title = {Deep Learning for Community Detection: Progress, Challenges and Opportunities},
	year = {2020},
	pages = {4981-4987},
	doi = {10.24963/ijcai.2020/693}
}

Paper Title	Venue	Year	Authors	Materials
Community detection in node-attributed social networks: A survey	Computer Science Review	2020	Petr Chunaev	[Paper]
Community detection in networks: A multidisciplinary review	Journal of Network and Computer Applications	2018	Javed et al.	[Paper]
Community discovery in dynamic networks: A Survey	ACM Computing Surveys	2018	Giulio Rossetti and Remy Cazabet	[Paper]
Evolutionary computation for community detection in networks: A review	IEEE TEVC	2018	Clara Pizzuti	[Paper]
Metrics for community analysis: A survey	ACM Computing Surveys	2017	Chakraborty et al.	[Paper]
Network community detection: A review and visual survey	Preprint	2017	Bisma S. Khan and Muaz A. Niazi	[Paper]
Community detection in networks: A user guide	Physics Reports	2016	Santo Fortunato and Darko Hric	[Paper]
Community detection in social networks	WIREs Data Mining Knowledge Discovery	2016	Punam Bedi and Chhavi Sharma	[Paper]

Convolutional Networks-based Community Detection

CNN-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Edge classification based on convolutional neural networks for community detection in complex network	Physica A	2020	Cai et al.	[Paper]
A deep learning based community detection approach	SAC	2019	Giancarlo Sperlí	[Paper]
Deep community detection in topologically incomplete networks	Physica A	2017	Xin et al.	[Paper]

GCN-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Adaptive graph encoder for attributed graph embedding	KDD	2020	Cui et al.	[Paper][Code]
CommDGI: Community detection oriented deep graph infomax	CIKM	2020	Zhang et al.	[Paper]
Going deep: Graph convolutional ladder-shape networks	AAAI	2020	Hu et al.	[Paper]
Independence promoted graph disentangled networks	AAAI	2020	Liu et al.	[Paper]
Supervised community detection with line graph neural networks	ICLR	2019	Chen et al.	[Paper][Code]
Graph convolutional networks meet markov random fields: Semi-supervised community detection in attribute networks	AAAI	2019	Jin et al.	[Paper]
Overlapping community detection with graph neural networks	DLG Workshop, KDD	2019	Oleksandr Shchur and Stephan Günnemann	[Paper][Code]
Attributed graph clustering via adaptive graph convolution	IJCAI	2019	Zhang et al.	[Paper][Code]
CayleyNets: Graph convolutional neural networks with complex rational spectral filters	IEEE Transactions on Signal Processing	2019	Levie et al.	[Paper][Code]

Graph Attention Network-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Unsupervised attributed multiplex network embedding	AAAI	2020	Park et al.	[Paper][Code]
MAGNN: Metapath aggregated graph neural network for heterogeneous graph embedding	WWW	2020	Fu et al.	[Paper] [Code]

Graph Adversarial Network-based Community Detection

Paper Title	Venue	Year	Authors	Materials
SEAL: Learning heuristics for community detection with generative adversarial networks	KDD	2020	Zhang et al.	[Paper][Code]
Multi-class imbalanced graph convolutional network learning	IJCAI	2020	Shi et al.	[Paper]
JANE: Jointly adversarial network embedding	IJCAI	2020	Yang et al.	[Paper]
ProGAN: Network embedding via proximity generative adversarial network	KDD	2019	Gao et al.	[Paper]
CommunityGAN: Community detection with generative adversarial nets	WWW	2019	Jia et al.	[Paper][Code]

Autoencoder-based Community Detection

Stacked AE-based Community Detection

Paper Title	Venue	Year	Authors	Materials
An evolutionary autoencoder for dynamic community detection	Science China Information Sciences	2020	Wang et al.	[Paper]
High-performance community detection in social networks using a deep transitive autoencoder	Information Sciences	2019	Xie et al.	[Paper]
Integrative network embedding via deep joint reconstruction	IJCAI	2018	Hongchang Gao and Heng Huang	[Paper]
Deep attributed network embedding	IJCAI	2018	Gao et al.	[Paper][Code]
Deep network embedding for graph representation learning in signed networks	IEEE TCYB	2018	Xiao Sheng and Fu-Lai Chung	[Paper][Code]
BL-MNE: Emerging heterogeneous social network embedding through broad learning with aligned autoencoder	ICDM	2017	Zhang et al.	[Paper][Code]
Modularity based community detection with deep learning	IJCAI	2016	Yang et al.	[Paper][Code]

Sparse AE-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Stacked autoencoder-based community detection method via an ensemble clustering framework	Information Sciences	2020	Xu et al.	[Paper]
DFuzzy: A deep learning-based fuzzy clustering model for large graphs	Knowledge and Information Systems	2018	Vandana Bhatia and Rinkle Rani	[Paper]
Learning deep representations for graph clustering	AAAI	2014	Tian et al.	[Paper][Code]

Denoising AE-based Community Detection

Paper Title	Venue	Year	Authors	Materials
MGAE: Marginalized graph autoencoder for graph clustering	CIKM	2017	Wang et al.	[Paper][Code]
Graph clustering with dynamic embedding	Preprint	2017	Yang et al.	[Paper]
Deep neural networks for learning graph representations	AAAI	2016	Cao et al.	[Paper]

Graph Convolutional AE-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Community-centric graph convolutional network for unsupervised community detection	IJCAI	2020	He et al.	[Paper]
Structural deep clustering network	WWW	2020	Bo et al.	[Paper][Code]
One2Multi graph autoencoder for multi-view graph clustering	WWW	2020	Fan et al.	[Paper][Code]

Graph Attention AE-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Multi-view attribute graph convolution networks for clustering	IJCAI	2020	Cheng et al.	[Paper]
Deep multi-graph clustering via attentive cross-graph association	WSDM	2020	Luo et al.	[Paper][Code]
Attributed graph clustering: A deep attentional embedding approach	IJCAI	2019	Wang et al.	[Paper]

Variational AE-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Effective decoding in graph auto-encoder using triadic closure	AAAI	2020	Shi et al.	[Paper]
Graph representation learning via ladder gamma variational autoencoders	AAAI	2020	Sarkar et al.	[Paper]
Stochastic blockmodels meet graph neural networks	ICML	2019	Mehta et al.	[Paper][Code]
Variational graph embedding and clustering with laplacian eigenmaps	IJCAI	2019	Chen et al.	[Paper]
Optimizing variational graph autoencoder for community detection	BigData	2019	Choong et al.	[Paper]
Learning community structure with variational autoencoder	ICDM	2018	Choong et al.	[Paper]
Adversarially regularized graph autoencoder for graph embedding	IJCAI	2018	Pan et al.	[Paper][Code]

Deep Nonnegative Matrix Factorization-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Community detection based on modularized deep nonnegative matrix factorization	International Journal of Pattern Recognition and Artificial Intelligence	2020	Huang et al.	[Paper]
Deep autoencoder-like nonnegative matrix factorization for community detection	CIKM	2018	Ye et al.	[Paper][Code]
A non-negative symmetric encoder-decoder approach for community detection	CIKM	2017	Sun et al.	[Paper]

Deep Sparse Filtering-based Community Detection

Paper Title	Venue	Year	Authors	Materials
Community discovery in networks with deep sparse filtering	Pattern Recognition	2018	Xie et al.	[Paper]

Datasets

Tools

Gephi https://gephi.org/
Pajek http://mrvar.fdv.uni-lj.si/pajek/
LFR https://www.santofortunato.net/resources

Disclaimer

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