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:
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
<div align="center"> <img src="./assets/logo_new.png" width=90% /> </div>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 |
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