Awesome Deep Community Detection

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

Awesome Deep Community Detection

Traditional Methods VS. Deep Learninig-based Methods

taxonomy

A Timeline of Community Detection Development

timeline

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]

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 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
CSAT: Contrastive sampling-aggregating transformer for community detection in attribute-missing networks	IEEE TCSS	2023	CSAT	[Paper]
A graph-enhanced attention model for community detection in multiplex networks	Expert Syst. Appl.	2023	GEAM	[Paper][Code]
Hierarchical attention network for attributed community detection of joint representation	Neural Comput. Appl.	2022	HiAN	[Paper]
Detecting communities from heterogeneous graphs: A context path-based graph neural network model	CIKM	2021	<nobr> CP-GNN <nobr>	[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
CANE: Community-aware network embedding via adversarial training	Knowl. Inf. Syst.	2021	CANE	[Paper]
Self-training enhanced: Network embedding and overlapping community detection with adversarial learning	IEEE TNNLS	2021	ACNE <br> ACNE-ST <br>	[Paper]
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks	ICDM	2021	ABC	[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