A collection of papers on deep learning for community detection.
- Awesome Deep Community Detection
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}
}
Community Detection in Networks: A Multidisciplinary Review. Journal of Network and Computer Applications 2018. Muhammad Aqib Javed, Muhammad Shahzad Younis, Siddique Latif, Junaid Qadir, Adeel Baig. [Paper]
Community Discovery in Dynamic Networks: A Survey. ACM Computing Surveys 2018. Giulio Rossetti, Rémy Cazabet. [Paper]
Metrics for Community Analysis: A Survey. ACM Computing Surveys 2017. Tanmoy Chakraborty, Ayushi Dalmia, Ayushi Dalmia, Animesh Mukherjee, Animesh Mukherjee, Niloy Ganguly. [Paper]
Network Community Detection: A Review and Visual Survey. Preprint 2017. Bisma S. Khan, Muaz A. Niazi. [Paper]
Community Detection: A User Guide. Physics Reports 2016. Santo Fortunato, Darko Hric. [Paper]
Community Detection in Social Networks. WIREs Data Mining Knowledge Discovery 2016. Punam Bedi, Chhavi Sharma. [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]
Graph representation learning via ladder gamma variational autoencoders. AAAI 2020. Sarkar et al.. [Paper]
Semi-implicit graph variational auto-encoders. NIPS 2019. Hasanzadeh et al.. [Paper] [Code]
Attributed graph clustering: A deep attentional embedding approach. IJCAI 2019. Wang et al.. [Paper]
Network-specific variational auto-encoder for embedding in attribute networks. IJCAI 2019. Chen et al.. [Paper]
Variational graph embedding and clustering with laplacian eigenmaps. IJCAI 2019. Chen 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 attributed network embedding. IJCAI 2018. Chen et al.. [Paper] [Code]
Integrative network embedding via deep joint reconstruction. IJCAI 2018. Hongchang Gao and Heng Huang. [Paper]
Deep network embedding for graph representation learning in signed networks. IEEE TCYB 2018. Xiao Sheng and Fu-Lai Chung. [Paper] [Code]
Incorporating network structure with node contents for community detection on large networks using deep learning. Neurocomputing 2018. Cao et al.. [Paper]
Autoencoder based community detection with adaptive integration of network topology and node contents. KSEM 2018. Cao 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]
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]
JANE: Jointly adversarial network embedding. IJCAI 2020. Yang et al.. [Paper]
CommunityGAN: Community detection with generative adversarial nets. WWW 2019. Jia et al.. [Paper] [Code]
Learning graph representation with generative adversarial nets. IEEE TKDE 2019. Wang et al.. [Paper]
GraphGAN: Graph representation learning with generative adversarial nets. AAAI 2018. Wang et al.. [Paper] [Code]
Deep autoencoder-like nonnegative matrix factorization for community detection. CIKM 2018. Ye et al.. [Paper] [Code]
Community detection in attributed graphs: An embedding approach. AAAI 2018. Li et al.. [Paper]
Community discovery in networks with deep sparse filtering. Pattern Recognition 2018. Xie et al.. [Paper]
vGraph: A generative model for joint community detection and node representation learning.. NIPS 2019. Sun et al.. [Paper] [Code]
A unified framework for community detection and network representation learning. IEEE TKDE 2019. Tu et al.. [Paper] [Code]
Embedding both finite and infinite communities on graphs. IEEE Computational Intelligence Magazine 2019. Cavallari et al.. [Paper]
Cosine: Community-preserving social network embedding from information diffusion cascades. AAAI 2018. Zhang et al.. [Paper]
Learning community embedding with community detection and node embedding on graphs. CIKM 2017. Cavallari et al.. [Paper] [Code]
Community-centric graph convolutional network for unsupervised community detection. IJCAI 2020. He et al.. [Paper]
Diffusion improves graph learning. NIPS 2019. Klicpera et al.. [Paper] [Code]
End to end learning and optimization on graphs. NIPS 2019. Wilder et al.. [Paper] [Code]
Attributed graph clustering: A deep attentional embedding approach. IJCAI 2019. Wang et al.. [Paper]
Supervised community detection with line graph neural networks. ICLR 2019. Chen et al.. [Paper] [Code]
Overlapping community detection with graph neural networks. Deep Learning on Graphs Workshop, SIGKDD 2019. Oleksandr Shchur and Stephan Günnemann. [Paper] [Code]
Graph convolutional networks meet markov random fields: Semi-supervised community detection in attribute networks. AAAI 2019. Jin et al.. [Paper]
Adversarially regularized graph autoencoder for graph embedding. IJCAI 2018. Pan et al.. [Paper] [Code]
- MEJN, http://www-personal.umich.edu/~mejn/netdata/
- SNAP, http://snap.stanford.edu/data/index.html
- Cellphone Calls, http://www.cs.umd.edu/hcil/VASTchallenge08/
- Enron Mail, http://www.cs.cmu.edu/~enron/
- Friendship https://dl.acm.org/doi/10.1145/2501654.2501657
- Gephi, https://gephi.org/
- Pajek, http://mrvar.fdv.uni-lj.si/pajek/
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