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XiaoxiaoMa-MQ / Awesome-Deep-Community-Detection

A Comprehensive Survey on Community Detection with Deep Learning

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Awesome Deep Community Detection

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A collection of papers on deep learning for community detection.

Traditional Methods VS. Deep Learninig-based Methods

taxonomy

A Timeline of Community Detection Development

timeline

Survey

A Comprehensive Survey on Community Detection with Deep Learning. IEEE TNNLS, 2022. 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] [ResearchGate] [Report by ArnetMiner (AMiner)]

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] [Report by AI Sci. Tech. Rev.]

Paper Title Venue Year Materials
A comprehensive survey on community detection with deep learning IEEE TNNLS 2022 [Paper]
[Report]
[Supplementary]
A survey of community detection approaches: From statistical modeling to deep learning IEEE TKDE 2021 [Paper]
Deep learning for community detection: Progress, challenges and opportunities IJCAI 2020 [Paper]
[Report]
Community detection in node-attributed social networks: A survey Comput. Sci. Rev. 2020 [Paper]
Community detection in networks: A multidisciplinary review J. Netw. Comput. Appl. 2018 [Paper]
Community discovery in dynamic networks: A survey ACM Comput. Surv. 2018 [Paper]
Evolutionary computation for community detection in networks: A review IEEE TEVC 2018 [Paper]
Metrics for community analysis: A survey ACM Comput. Surv. 2017 [Paper]
Network community detection: A review and visual survey Preprint 2017 [Paper]
Community detection in networks: A user guide Phys. Rep. 2016 [Paper]
Community detection in social networks WIREs Data Min. Knowl. Discov. 2016 [Paper]
Overlapping community detection in networks: The state-of-the-art and comparative study ACM Comput. Surv. 2013 [Paper]
Clustering and community detection in directed networks: A survey Phys. Rep. 2013 [Paper]
Community detection in graphs Phys. Rep. 2010 [Paper]

Convolutional Networks-based Community Detection

CNN-based Community Detection

Paper Title Venue Year Method Materials
A deep learning approach for semi-supervised community detection in online social networks Knowl.-Based Syst. 2021 SparseConv2D [Paper]
Edge classification based on convolutional neural networks for community detection in complex network Physica A 2020 ComNet-R [Paper]
A deep learning based community detection approach SAC 2019 SparseConv [Paper]
Deep community detection in topologically incomplete networks Physica A 2017 Xin et al. [Paper]

GCN-based Community Detection

Paper Title Venue Year Method Materials
Graph debiased contrastive learning with joint representation clustering IJCAI 2021 Zhao et al. [Paper]
Spectral embedding network for attributed graph clustering Neural Netw. 2021 SENet [Paper]
Unsupervised learning for community detection in attributed networks based on graph convolutional network Neurocomputing 2021 SGCN [Paper]
Adaptive graph encoder for attributed graph embedding KDD 2020 AGE [Paper][Code]
CommDGI: Community detection oriented deep graph infomax CIKM 2020 CommDGI [Paper]
Going deep: Graph convolutional ladder-shape networks AAAI 2020 GCLN [Paper]
Independence promoted graph disentangled networks AAAI 2020 IPGDN [Paper]
Supervised community detection with line graph neural networks ICLR 2019 LGNN [Paper][Code]
Graph convolutional networks meet Markov random fields: Semi-supervised community detection in attribute networks AAAI 2019 MRFasGCN [Paper]
Overlapping community detection with graph neural networks DLG Workshop, KDD 2019 NOCD [Paper][Code]
Attributed graph clustering via adaptive graph convolution IJCAI 2019 AGC [Paper][Code]
CayleyNets: Graph convolutional neural networks with complex rational spectral filters IEEE TSP 2019 CayleyNets [Paper][Code]

Graph Attention Network-based Community Detection

Paper Title Venue Year Method Materials
Detecting communities from heterogeneous graphs: A context path-based graph neural network model CIKM 2021 CP-GNN [Paper][Code]
HDMI: High-order deep multiplex infomax WWW 2021 HDMI [Paper][Code]
Self-supervised heterogeneous graph neural network with co-contrastive learning KDD 2021 HeCo [Paper][Code]
Unsupervised attributed multiplex network embedding AAAI 2020 DMGI [Paper][Code]
MAGNN: Metapath aggregated graph neural network for heterogeneous graph embedding WWW 2020 MAGNN [Paper] [Code]

Graph Adversarial Network-based Community Detection

Paper Title Venue Year Method Materials
Self-training enhanced: Network embedding and overlapping community detection with adversarial learning IEEE TNNLS 2021 ACNE [Paper]
CANE: Community-aware network embedding via adversarial training Knowl. Inf. Syst. 2021 CANE [Paper]
SEAL: Learning heuristics for community detection with generative adversarial networks KDD 2020 SEAL [Paper][Code]
Multi-class imbalanced graph convolutional network learning IJCAI 2020 DR-GCN [Paper]
JANE: Jointly adversarial network embedding IJCAI 2020 JANE [Paper]
ProGAN: Network embedding via proximity generative adversarial network KDD 2019 ProGAN [Paper]
CommunityGAN: Community detection with generative adversarial nets WWW 2019 CommunityGAN [Paper][Code]

Autoencoder-based Community Detection

Paper Title Venue Year Method Materials
A weighted network community detection algorithm based on deep learning Appl. Math. Comput. 2021 WCD [Paper]
DNC: A deep neural network-based clustering-oriented network embedding algorithm J. Netw. Comput. Appl. 2021 DNC [Paper]
Self-supervised graph convolutional network for multi-view clustering IEEE TMM 2021 SGCMC [Paper]
Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution Neural Netw. 2021 GEC-CSD [Paper][Code]
An evolutionary autoencoder for dynamic community detection Sci. China Inf. Sci. 2020 sE-Autoencoder [Paper]
Stacked autoencoder-based community detection method via an ensemble clustering framework Inf. Sci. 2020 CDMEC [Paper]
Community-centric graph convolutional network for unsupervised community detection IJCAI 2020 GUCD [Paper]
Structural deep clustering network WWW 2020 SDCN [Paper][Code]
One2Multi graph autoencoder for multi-view graph clustering WWW 2020 One2Multi [Paper][Code]
Multi-view attribute graph convolution networks for clustering IJCAI 2020 MAGCN [Paper]
Deep multi-graph clustering via attentive cross-graph association WSDM 2020 DMGC [Paper][Code]
Effective decoding in graph auto-encoder using triadic closure AAAI 2020 TGA/TVGA [Paper]
Graph representation learning via ladder gamma variational autoencoders AAAI 2020 LGVG [Paper]
High-performance community detection in social networks using a deep transitive autoencoder Inf. Sci. 2019 Transfer-CDDTA [Paper]
Attributed graph clustering: A deep attentional embedding approach IJCAI 2019 DAEGC [Paper]
Stochastic blockmodels meet graph neural networks ICML 2019 DGLFRM [Paper][Code]
Variational graph embedding and clustering with laplacian eigenmaps IJCAI 2019 VGECLE [Paper]
Optimizing variational graph autoencoder for community detection BigData 2019 VGAECD-OPT [Paper]
Integrative network embedding via deep joint reconstruction IJCAI 2018 UWMNE [Paper]
Deep attributed network embedding IJCAI 2018 DANE [Paper][Code]
Deep network embedding for graph representation learning in signed networks IEEE TCYB 2018 DNE-SBP [Paper][Code]
DFuzzy: A deep learning-based fuzzy clustering model for large graphs Knowl. Inf. Syst. 2018 DFuzzy [Paper]
Learning community structure with variational autoencoder ICDM 2018 VGAECD [Paper]
Adversarially regularized graph autoencoder for graph embedding IJCAI 2018 ARGA/ARVGA [Paper][Code]
BL-MNE: Emerging heterogeneous social network embedding through broad learning with aligned autoencoder ICDM 2017 DIME [Paper][Code]
MGAE: Marginalized graph autoencoder for graph clustering CIKM 2017 MGAE [Paper][Code]
Graph clustering with dynamic embedding Preprint 2017 GRACE [Paper]
Modularity based community detection with deep learning IJCAI 2016 semi-DRN [Paper][Code]
Deep neural networks for learning graph representations AAAI 2016 DNGR [Paper]
Learning deep representations for graph clustering AAAI 2014 GraphEncoder [Paper][Code]

Other Deep Learning-based Community Detection

Paper Title Venue Year Method Materials
Community detection based on modularized deep nonnegative matrix factorization Int. J. Pattern Recognit. Artif. Intell. 2020 MDNMF [Paper]
Deep autoencoder-like nonnegative matrix factorization for community detection CIKM 2018 DANMF [Paper][Code]
Community discovery in networks with deep sparse filtering Pattern Recognit. 2018 DSFCD [Paper]
A non-negative symmetric encoder-decoder approach for community detection CIKM 2017 Sun et al. [Paper]

Datasets

Citation/Co-authorship Networks

Online Social Networks

Traditional Social Networks

Webpage Networks

Product Co-purchasing Networks

Other Networks

Tools

Disclaimer

If you have any questions, please feel free to contact us. Emails: fanzhen.liu@hdr.mq.edu.au, xing.su2@hdr.mq.edu.au

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A Comprehensive Survey on Community Detection with Deep Learning

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