ADGC: Awesome Deep Graph Clustering

ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets). Any other interesting papers and codes are welcome. Any problems, please contact yueliu19990731@163.com. If you find this repository useful to your research or work, it is really appreciated to star this repository. :sparkles: If you use our code or the processed datasets in this repository for your research, please cite 2-3 papers in the citation part here. :heart:

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What's Deep Graph Clustering?

Deep graph clustering, which aims to reveal the underlying graph structure and divide the nodes into different groups, has attracted intensive attention in recent years. More details can be found in the survey paper. Link

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Important Survey Papers

Year	Title	Venue	Paper	Code
2023	An Overview of Advanced Deep Graph Node Clustering	TCSS	Link	-
2022	A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application	arXiv	Link	Link
2022	A Comprehensive Survey on Community Detection with Deep Learning	TNNLS	Link	-
2020	A Comprehensive Survey on Graph Neural Networks	TNNLS	Link	-
2020	Deep Learning for Community Detection: Progress, Challenges and Opportunities	IJCAI	Link	-
2018	A survey of clustering with deep learning: From the perspective of network architecture	IEEE Access	Link	-

Papers

New-architecture Deep Graph Clustering

Year	Title	Venue	Paper	Code
2024	Kolmogorov-Arnold Network (KAN) for Graphs	-	-	link

Temporal Deep Graph Clustering

Year	Title	Venue	Paper	Code
2024	Deep Temporal Graph Clustering (TGC)	ICLR	Link	link

Deep Graph Clustering with Unknown Cluster Number

Year	Title	Venue	Paper	Code
2024	LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering (LSEnet)	ICML	Link	Link
2024	Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k (GCMA)	arXiv	Link	-
2023	Reinforcement Graph Clustering with Unknown Cluster Number (RGC)	ACM MM	Link	Link

Reconstructive Deep Graph Clustering

Year	Title	Venue	Paper	Code
2024	Synergistic Deep Graph Clustering Network (SynC)	Arxiv	link	link
2024	Deep Masked Graph Node Clustering （DMGC）	TCSS	link	-
2024	Multi-scale graph clustering network (MGCN)	IS	link	link
2024	An End-to-End Deep Graph Clustering via Online Mutual Learning	TNNLS	link	-
2024	Contrastive Deep Nonnegative Matrix Factorization for Community Detection (CDNMF)	ICASSP	link	link
2023	EGRC-Net: Embedding-Induced Graph Refinement Clustering Network (EGRC-Net)	TIP	Link	Link
2023	Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering (BELBO-VGAE)	SDM	Link	Link
2023	Graph Clustering with Graph Neural Networks (DMoN)	JMLR	Link	Link
2023	Graph Clustering Network with Structure Embedding Enhanced (GC-SEE)	PR	link	link
2023	Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering (DGCN)	ICML	Link	Link
2023	Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data (scTCM)	IJCAI	Link	Link
2023	Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-cell RNA-seq: A Unified Perspective (scTPF)	AAAI	Link	Link
2022	Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering (FT-VGAE)	IJCAI	Link	Link
2022	Deep Attention-guided Graph Clustering with Dual Self-supervision (DAGC)	TCSVT	Link	Link
2022	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (R-GAE)	TKDE	Link	Link
2022	Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution (GEC-CSD)	NN	Link	-
2022	Exploring temporal community structure via network embedding (VGRGMM)	TCYB	Link	-
2022	Cluster-Aware Heterogeneous Information Network Embedding (VaCA-HINE)	WSDM	Link	-
2022	Efficient Graph Convolution for Joint Node Representation Learning and Clustering (GCC)	WSDM	Link	Link
2022	ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations (scTAG)	AAAI	Link	Link
2022	Graph community infomax(GCI)	TKDD	Link	-
2022	Deep graph clustering with multi-level subspace fusion (DGCSF)	PR	Link	-
2022	Graph Clustering via Variational Graph Embedding (GC-VAE)	PR	Link	-
2022	Deep neighbor-aware embedding for node clustering in attributed graphs (DNENC)	PR	Link	-
2022	Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering (CDRS)	TNNLS	Link	Link
2022	Embedding Graph Auto-Encoder for Graph Clustering (EGAE)	TNNLS	Link	Link
2021	Self-Supervised Graph Convolutional Network for Multi-View Clustering (SGCMC)	TMM	Link	Link
2021	Adaptive Hypergraph Auto-Encoder for Relational Data Clustering (AHGAE)	TKDE	Link	-
2021	Attention-driven Graph Clustering Network (AGCN)	ACM MM	Link	Link
2021	Deep Fusion Clustering Network (DFCN)	AAAI	Link	Link
2020	Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning (CGCN)	AAAI	Link	Link
2020	Deep multi-graph clustering via attentive cross-graph association (DMGC)	WSDM	Link	Link
2020	Going Deep: Graph Convolutional Ladder-Shape Networks (GCLN)	AAAI	Link	-
2020	Multi-view attribute graph convolution networks for clustering (MAGCN)	IJCAI	Link	Link
2020	One2Multi Graph Autoencoder for Multi-view Graph Clustering (O2MAC)	WWW	Link	Link
2020	Structural Deep Clustering Network (SDCN/SDCN_Q)	WWW	Link	Link
2020	**Dirichlet Graph Variational Autoencoder