A collection of papers on deep learning for community detection.

• Awesome Deep Community Detection
  • Survey
  • Deep Neural Network-based Community Detection
    • CNN-based Approaches
    • Auto-encoder-based Approaches
    • GAN-based Approaches
  • Deep Graph Embedding-based Community Detection
    • Deep NMF-based Approaches
    • Deep SF-based Approaches
    • Community Embedding-based Approaches
  • Graph Neural Network-based Community Detection

Deep Learning for Community Detection: Progress, Challenges and Opportunities. Preprint 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]

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]

Learning community structure with variational autoencoder. ICDM 2018. Choong et al. [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]

Modularity based community detection with deep learning. IJCAI 2016. Yang et al.. [Paper] [Code]

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] [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]

A unified framework for community detection and network representation learning. IEEE TKDE 2019. Tu et al.. [Paper] [Code]

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]

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, KDD 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]