Awesome Deep Community Detection
A collection of papers on deep learning for community detection.
A Comprehensive Survey on Community Detection with Deep Learning . 29 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 ] [AMiner科技 ]
Link: https://arxiv.org/abs/2105.12584
@article{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.},
journal = {arXiv preprint arXiv:2105.12584},
title = {A Comprehensive Survey on Community Detection with Deep Learning},
year = {2021},
url = {https://arxiv.org/abs/2105.12584}
}
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
A deep learning approach for semi-supervised community detection in online social networks
Knowledge-Based Systems
2021
De Santo et al.
[Paper ]
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
Graph debiased contrastive learning with joint representation clustering
IJCAI
2021
Zhao et al.
[Paper ]
Spectral embedding network for attributed graph clustering
Neural Networks
2021
Zhang et al.
[Paper ]
Unsupervised learning for community detection in attributed networks based on graph convolutional network
Neurocomputing
2021
Wang et al.
[Paper ]
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
Detecting communities from heterogeneous graphs: A context path-based graph neural network model
CIKM
2021
Luo et al.
[Paper ][Code ]
HDMI: High-order deep multiplex infomax
WWW
2021
Jing et al.
[Paper ][Code ]
Self-supervised heterogeneous graph neural network with co-contrastive learning
KDD
2021
Wang et al.
[Paper ][Code ]
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
Self-training enhanced: Network embedding and overlapping community detection with adversarial learning
IEEE TNNLS
2021
Chen et al.
[Paper]
CANE: Community-aware network embedding via adversarial training
Knowledge and Information Systems
2021
Wang et al.
[Paper]
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
A weighted network community detection algorithm based on deep learning
Applied Mathematics and Computation
2021
Li et al.
[Paper ]
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
DNC: A deep neural network-based clustering-oriented network embedding algorithm
Journal of Network and Computer Applications
2021
Li et al.
[Paper ]
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
Self-supervised graph convolutional network for multi-view clustering
IEEE TMM
2021
Xia et al.
[Paper ]
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
Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution
Neural Networks
2021
Xu et al.
[Paper ][Code ]
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 ]
Citation/Co-authorship Networks
Traditional Social Networks
Product Co-purchasing Networks
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Emails: fanzhen.liu@hdr.mq.edu.au , xing.su2@hdr.mq.edu.au