Awesome Deep Community Detection

A collection of papers, implementations, datasets, and tools for deep and non-deep community detection.

• Awesome Deep Community Detection
  • Survey
  • Convolutional Networks-based Community Detection
    • CNN-based Community Detection
    • GCN-based Community Detection
  • Graph Attention Network-based Community Detection
  • Generative Adversarial Network-based Community Detection
  • Autoencoder-based Community Detection
  • Other Deep Learning-based Community Detection
  • Non-Deep Learning-based Community Detection
  • Datasets
  • Tools

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Traditional Methods VS. Deep Learninig-based Methods

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A Timeline of Community Detection Development

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Survey

| Paper Title | Venue | Year | Materials | | ---- | :----: | :----: | :----: | | A comprehensive survey on community detection with deep learning | IEEE TNNLS | 2022 | [Paper] <br> [Report] <br> [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] <br>[Report]| | A survey of community detection methods in multilayer networks | Data Min. Knowl. Discov. | 2020 | [Paper] | | 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] |

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Convolutional Networks-based Community Detection

CNN-based Community Detection

| Paper Title | Venue | Year | Method | Materials | | ---- | :----: | :----: | :----: | :----: | |Inductive representation learning via CNN for partially-unseen attributed networks | IEEE TNSE | 2021 | IEPAN | [Paper] | |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 | | ---- | :----: | :----: | :----: | :----: | |Complex exponential graph convolutional networks | Inf. Sci. | 2023 | CEGCN | [Paper] [Code] | |Community detection based on community perspective and graph convolutional network| Expert Syst. Appl. | 2023 | CPGC | [Paper] | |Heterogeneous question answering community detection based on graph neural network | Inf. Sci. | 2023 | HCDBG | [Paper] | |Overlapping community detection on complex networks with graph convolutional networks | Comput. Commun. | 2023 | CDMG | [Paper] | |Deep MinCut: Learning node embeddings from detecting communities | Pattern Recognit. | 2022 | DMC | [Paper] | |End-to-end modularity-based community co-partition in bipartite networks| CIKM | 2022 | BiCoN+GCN | [Paper] | |CLARE: A semi-supervised community detection algorithm | KDD | 2022 | CLARE | [Paper] [Code] | |Efficient graph convolution for joint node representation learning and clustering | WSDM | 2022 | GCC | [Paper] [Code] | |Geometric graph representation learning via maximizing rate reduction | WWW | 2022 | $G^2R$ | [Paper] [Code] | | RepBin: Constraint-based graph representation learning for metagenomic binning | AAAI | 2022 | RepBin | [Paper] [Code] | |SSSNET: Semi-supervised signed network clustering | SDM | 2022 | SSSNET | [Paper] [Code] | |Learning Guarantees for Graph Convolutional Networks on The Stochastic Block Model | ICLR | 2022 | GCN-SBM | [Paper] | |When convolutional network meets temporal heterogeneous graphs: An effective community detection method | IEEE TKDE| 2021 | THGCN | [Paper] | |Multi-view contrastive graph clustering | NIPS | 2021 | MCGC | [paper] [Code] | |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 wit