Deep Temporal Graph Clustering |
TGC |
ICLR 2024 |
Pytorch |
Local Graph Clustering with Noisy Labels |
- |
ICLR 2024 |
- |
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering |
LSEnet |
ICML 2024 |
Pytorch |
Attribute-Missing Graph Clustering Network |
AMGC |
AAAI 2024 |
Pytorch |
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering |
AHGFC |
AAAI 2024 |
- |
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization |
DGCLUSTER |
AAAI 2024 |
Pytorch |
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering |
DyFSS |
AAAI 2024 |
Pytorch |
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization |
DGCLUSTER |
AAAI 2024 |
Pytorch |
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering |
AHGFC |
AAAI 2024 |
- |
Contrastive Deep Nonnegative Matrix Factorization for Community Detection |
CDNMF |
ICASSP 2024 |
Pytorch |
Deep asymmetric nonnegative matrix factorization for graph clustering |
DAsNMF |
PR 2024 |
Readme |
A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information |
- |
PR 2024 |
- |
Multi-level Graph Contrastive Prototypical Clustering |
MLG-CPC |
IJCAI 2023 |
- |
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces |
CONGREGATE |
IJCAI 2023 |
Pytorch |
Dink-Net: Neural Clustering on Large Graphs |
Dink-Net |
ICML 2023 |
Pytorch |
Cluster-Guided Contrastive Graph Clustering Network |
CCGC |
AAAI 2023 |
Pytorch |
Hard Sample Aware Network for Contrastive Deep Graph Clustering |
HSAN |
AAAI 2023 |
Pytorch |
Scalable Attributed-Graph Subspace Clustering |
SAGSC |
AAAI 2023 |
TensorFlow |
GLCC: A General Framework for Graph-Level Clustering |
GLCC |
AAAI 2023 |
- |
Graph Clustering with Graph Neural Networks |
DMoN |
JMLR 2023 |
Tensorflow |
Simple Contrastive Graph Clustering |
SCGC |
TNNLS 2023 |
- |
Graph clustering network with structure embedding enhanced |
GC-SEE |
PR 2023 |
Pytorch |
Hard Sample Aware Network for Contrastive Deep Graph Clustering |
HSAN |
AAAI 2023 |
Pytorch |
Reinforcement Graph Clustering with Unknown Cluster Number |
RGC |
MM 2023 |
Pytorch |
DCOM-GNN: A Deep Clustering Optimization Method for Graph Neural Networks |
DCOM-GNN |
Knowl Based Syst 2023 |
- |
EGRC-Net: Embedding-Induced Graph Refinement Clustering Network |
EGRC-Net |
TIP 2023 |
Pytorch |
Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering |
BELBO-VGAE |
SDM 2023 |
Pytorch |
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering |
DGCN |
ICML 2023 |
Pytorch |
A Contrastive Variational Graph Auto-Encoder for Node Clustering |
CVGAE |
PR 2023 |
Pytorch |
Dual Contrastive Learning Network for Graph Clustering |
DCLN |
TNNLS 2023 |
Pytorch |
Contrastive Learning with Cluster-Preserving Augmentation for Attributed Graph Clustering |
CCA-AGC |
ECML-PKDD 2023 |
Pytorch |
Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization |
- |
ECML-PKDD 2023 |
- |
Self-Contrastive Graph Diffusion Network |
SCGDN |
MM 2023 |
Pytorch |
CONVERT: Contrastive Graph Clustering with Reliable Augmentation |
CONVERT |
MM 2023 |
Pytorch |
CARL-G: Clustering-Accelerated Representation Learning on Graphs |
CARL-G |
SIGKDD 2023 |
pytorch |
Dink-Net: Neural Clustering on Large Graphs |
Dink-Net |
ICML 2023 |
Pytorch |
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces |
CONGREGATE |
IJCAI 2023 |
Pytorch |
Multi-level Graph Contrastive Prototypical Clustering |
MLG-CPC |
IJCAI 2023 |
|
Robust Graph Clustering via Meta Weighting for Noisy Graphs |
MetaGC |
CIKM 2023 |
Pytorch |
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering |
R2FGC |
TNNLS 2023 |
Pytorch |
A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering |
Re-evaluation |
CIKM 2023 |
Pytorch |
Homophily-enhanced Structure Learning for Graph Clustering |
HoLe |
CIKM 2023 |
Pytorch |
GC-Flow: A Graph-Based Flow Network for Effective Clustering |
GC-Flow |
ICML 2023 |
Pytorch |
Community detection based on community perspective and graph convolutional network |
CPGC |
Expert Syst. Appl. 2023 |
- |
CataBEEM: Integrating latent interaction categories in node-wise community detection models for network data |
CataBEEM |
ICML 2023 |
Numpy |
Nonnegative matrix factorization based on node centrality for community detection |
NCNMF |
TKDD 2023 |
Numpy |
Dual label-guided graph refinement for multi-view graph clustering |
DuaLGR |
AAAI 2023 |
Pytorch |
Contrastive graph clustering with adaptive filter |
CGC |
Expert Syst. Appl. 2023 |
Numpy |
GLCC: A General Framework for Graph-Level Clustering |
GLCC |
AAAI 2023 |
- |
Neighborhood contrastive representation learning for attributed graph clustering |
NCAGC |
Neurocomputing 2023 |
Pytorch |
Graph structure learning layer and its graph convolution clustering application |
SSGNN |
NN 2023 |
Pytorch |
Mutual Boost Network for attributed graph clustering |
MBN |
Expert Syst. Appl. 2023 |
Pytorch |
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning |
PGCL-GC |
TNNLS 2023 |
- |
Adaptive Graph Convolution Methods for Attributed Graph Clustering |
IAGC |
TKDE 2023 |
Pytorch |
Scalable and Effective Conductance-Based Graph Clustering |
PCon |
AAAI 2023 |
- |
Scalable Attributed-Graph Subspace Clustering |
SAGSC |
AAAI 2023 |
Tensorflow |
Hard Sample Aware Network for Contrastive Deep Graph Clustering |
HSAN |
AAAI 2023 |
Pytorch |
Cluster-guided Contrastive Graph Clustering Network |
CCGC |
AAAI 2023 |
Pytorch |
Deep Graph Clustering with Multi-Level Subspace Fusion |
DGCSF |
PR 2023 |
- |
GRACE: A General Graph Convolution Framework for Attributed Graph Clustering |
GRACE |
TKDD 2023 |
Pytorch |
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering |
SHGP |
NeurIPS 2022 |
Pytorch |
EMGC$^2$F: Effcient Multi-view Graph Clustering with Comprehensive Fusion |
EMGC$^2$F |
IJCAI 2022 |
- |
Deep Graph Clustering via Dual Correlation Reduction |
DCRN |
AAAI 2022 |
Pytorch |
Multi-view Contrastive Graph Clustering |
MCGC |
NeurIPS 2021 |
Python |
Graph Contrastive Clustering |
GCC |
ICCV 2021 |
Pytorch |
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks |
RNNGCN |
AAAI 2021 |
Pytorch |
Spectral Clustering with Graph Neural Networks for Graph Pooling |
- |
ICML 2020 |
TensorFlow |
Deep Graph Clustering via Dual Correlation Reduction |
DCRN |
AAAI 2022 |
Pytorch |
Efficient graph convolution for joint node representation learning and clustering |
GCC |
WSDM 2022 |
Tensorflow |
CGC: Contrastive Graph Clustering for Community Detection and Tracking |
CGC |
WWW 2022 |
- |
Attributed Graph Clustering with Dual Redundancy Reduction |
AGC-DRR |
IJCAI 2022 |
Pytorch |
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering |
FT-VGAE |
IJCAI 2022 |
Pytorch |
S3GC: Scalable Self-Supervised Graph Clustering |
S3GC |
NeurIPS 2022 |
Pytorch |
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering |
CDRS |
TNNLS 2022 |
Pytorch |
Deep Attention-guided Graph Clustering with Dual Self-supervision |
DAGC |
TCSVT 2022 |
Pytorch |
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering |
R-GAE |
TKDE 2022 |
Pytorch |
Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution |
GEC-CSD |
NN 2022 |
- |
Cluster-Aware Heterogeneous Information Network Embedding |
VaCA-HINE |
WSDM 2022 |
- |
Exploring temporal community structure via network embedding |
VGRGMM |
TCYB 2022 |
- |
Graph Clustering via Variational Graph Embedding |
GC-VAE |
PR 2022 |
- |
Deep neighbor-aware embedding for node clustering in attributed graphs |
DNENC |
PR 2022 |
- |
Embedding Graph Auto-Encoder for Graph Clustering |
EGAE |
TNNLS 2022 |
Pytorch |
Self-consistent Contrastive Attributed Graph Clustering with Pseudo-label Prompt |
SCAGC |
TMM 2022 |
Pytorch |
Deep linear graph attention model for attributed graph clustering |
DLGAMC |
Knowl Based Syst 2022 |
- |
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning |
RwSL |
ASONAM 2022 |
- |
Fine-grained Attributed Graph Clustering |
FGC |
SDM 2022 |
Pytorch |
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation |
MVGC |
NN 2022 |
Tensorflow |
Stationary diffusion state neural estimation for multi-view clustering |
SDSNE |
AAAI 2022 |
Pytorch |
Deep Fusion Clustering Network |
DFCN |
AAAI 2021 |
Pytorch |
Attention-driven Graph Clustering Network |
AGCN |
MM 2021 |
Pytorch |
Graph Debiased Contrastive Learning with Joint Representation Clustering |
GDCL |
IJCAI 2021 |
Pytorch |
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering |
CaEGCN |
TKDE 2021 |
Pytorch |
Graph community infomax |
GCI |
TKDD 2021 |
- |
Self-Supervised Graph Convolutional Network for Multi-View Clustering |
SGCMC |
TMM 2021 |
Tensorflow |
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering |
AHGAE |
TKDE 2021 |
- |
Multi-view Contrastive Graph Clustering |
MCGC |
NeurIPS 2021 |
Pytorch |
Adaptive Graph Auto-Encoder for General Data Clustering |
AdaGAE |
TPAMI 2021 |
Pytorch |
Smoothness Sensor: Adaptive Smoothness Transition Graph Convolutions for Attributed Graph Clustering |
NAS-GC |
TCYB 2021 |
Tensorflow |
Multi-view Attributed Graph Clustering |
MAGC |
TKDE 2021 |
Pytorch |
Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs |
GIC |
PAKDD 2021 |
Pytorch |
Graph Filter-based Multi-view Attributed Graph Clustering |
MvAGC |
IJCAI 2021 |
Pytorch |
Spectral embedding network for attributed graph clustering |
SENet |
NN 2021 |
- |
Structural Deep Clustering Network |
SDCN |
WWW 2020 |
Pytorch |
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering |
FLSR-FTRR |
MM 2020 |
- |
Community-Centric Graph Convolutional Network for Unsupervised Community Detection |
GUCD |
IJCAI 2020 |
Tensorflow |
Deep multi-graph clustering via attentive cross-graph association |
DMGC |
WSDM 2020 |
Tensorflow |
Multi-view attribute graph convolution networks for clustering |
MAGCN |
IJCAI 2020 |
Pytorch |
One2Multi Graph Autoencoder for Multi-view Graph Clustering |
O2MAC |
WWW 2020 |
Tensorflow |
CommDGI: Community Detection Oriented Deep Graph Infomax |
CommDGI |
CIKM 2020 |
Pytorch |
CommunityGAN: Community Detection with Generative Adversarial Nets |
CommunityGAN |
WWW 2019 |
Tensorflow |
Attributed Graph Clustering via Adaptive Graph Convolution |
AGC |
IJCAI 2019 |
Tensorflow |
Attributed Graph Clustering: A Deep Attentional Embedding Approach |
DAEGC |
IJCAI 2019 |
Pytorch |
Adversarial Graph Embedding for Ensemble Clustering |
AGAE |
IJCAI 2019 |
- |
Multi-view Consensus Graph Clustering |
MCGC |
TIP 2019 |
Matlab |
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection |
DANMF |
CIKM 2018 |
networkx |
Learning Community Structure with Variational Autoencoder |
VGAECD |
ICDM 2018 |
- |
Community Preserving Network Embedding |
M-NMF |
AAAI 2017 |
Matlab |
Learning Community Embedding with Community Detection and Node Embedding on Graphs |
ComE |
CIKM 2017 |
Cython |
Combining structured node content and topology information for networked graph clustering |
- |
TKDD 2017 |
- |
MGAE: Marginalized Graph Autoencoder for Graph Clustering |
MGAE |
CIKM 2017 |
Matlab |