Awesome-Deep-Multiview-Clustering

Collections for state-of-the-art and novel deep neural network-based multi-view clustering approaches (papers & codes). According to the integrity of multi-view data, such methods can be further subdivided into Deep Multi-view Clustering(DMVC) and Deep Incomplete Multi-view Clustering(DIMVC).

We are looking forward for other participants to share their papers and codes. If interested or any question about the listed papers and codes, please contact jinjiaqi@nudt.edu.cn. If you find this repository useful to your research or work, it is really appreciated to star this repository. ✨ If you use our code or the processed datasets in this repository for your research, please cite 1-2 papers in the citation part here. ❤️

Table of Contents

• What's Deep Multi-view Clustering?
• Surveys
• Papers & Codes
  • Deep Multi-view Clustering(DMVC)
  • Deep Incomplete Multi-view Clustering(DIMVC)
• Citation

---

What's Deep Multi-view Clustering?

Deep multi-view clustering aims to reveal the potential complementary information of multiple features or modalities through deep neural networks, and finally divide samples into different groups in unsupervised scenarios.

Surveys

Year	Title	Venue	Paper
2024	Incomplete Multi-view Learning: Review, Analysis, and Prospects	ASC
2023	A Comprehensive Survey on Multi-view Clustering	TKDE
2022	Representation Learning in Multi-view Clustering: A Literature Review	DSE
2022	Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions	Arxiv
2021	Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion	TOMM
2021	Deep Multi-view Learning Methods: A Review	Neurocom
2018	A Survey of Multi-View Representation Learning	TKDE
2018	Multi-view Clustering: A Survey	BDMA
2018	Multimodal Machine Learning: A Survey and Taxonomy	TPAMI
2018	A Survey on Multi-View Clustering	Arxiv
2017	Multi-view Learning Overview：Recent Progress and New Challenges	IF
2013	A Survey on Multi-view Learning	Arxiv

---

Papers & Codes

According to the integrity of multi-view data, the paper is divided into deep multi-view clustering methods and deep incomplete multi-view clustering approaches.

Deep Multi-view Clustering(DMVC)

Year	Title	Abbreviation	Venue	Paper	Code
2024	SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering	SURER	AAAI		-
2024	Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders	CMVAE	ICLR		-
2023	Generalized Information-theoretic Multi-view Clustering	IMC	NeurIPS		-
2023	Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration	SEM	NeurIPS
2023	A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective	SUMVC	NeurIPS
2023	Dual Label-Guided Graph Refnement for Multi-View Graph Clustering	DuaLGR	AAAI
2023	Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering	CTCC	ICCV		-
2023	MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering	MHCN	ICCV		-
2023	Deep Multiview Clustering by Contrasting Cluster Assignments	CVCL	ICCV
2023	DealMVC: Dual Contrastive Calibration for Multi-view Clustering	DealMVC	ACM MM
2023	Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering	SGDMC	AAAI		-
2023	Auto-attention Mechanism for Multi-view Deep Embedding Clustering	MDEC	PR		-
2023	Dual Fusion-Propagation Graph Neural Network for Multi-view Clustering	DFP-GNN	TMM		-
2023	Joint Shared-and-Specific Information for Deep Multi-View Clustering	JSSI	TCSVT		-
2023	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering	DeepMVC	CVPR
2023	GCFAgg：Global and Cross-view Feature Aggregation for Multi-view Clustering	GCFAgg	CVPR		-
2023	Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering	SIB-MSC	TIP		-
2023	Multi-channel Augmented Graph Embedding Convolutional Network for Multi-view Clustering	MAGEC-Net	TNSE		-
2022	Deep Safe Multi-View Clustering：Reducing the Risk of Clustering Performance Degradation Caused by View Increase	DSMVC	CVPR
2022	Multi-level Feature Learning for Contrastive Multi-view Clustering	MFLVC	CVPR
2022	Stationary Diffusion State Neural Estimation for Multiview Clustering	SDSNE	AAAI
2022	Multi-View Subspace Clustering via Structured Multi-Pathway Network	SMpNet	TNNLS
2022	Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization	MvSC-MRAR	TNNLS		-
2022	Self-Supervised Deep Multiview Spectral Clustering	SDMvSC	TNNLS		-
2022	Contrastive Multi-view Hyperbolic Hierarchical Clustering	CMHHC	IJCAI		-
2022	Multi-view Graph Embedding Clustering Network：Joint Self-supervision and Block Diagonal Representation	MVGC	NN
2022	Efficient Multi‑view Clustering Networks	EMC-Nets	APPL INTELL
2021	Deep Mutual Information Maximin for Cross-Modal Clustering	DMIM	AAAI		-
2021	Uncertainty-Aware Multi-View Representation Learning	DUA-Nets	AAAI
2021	Reconsidering Representation Alignment for Multi-view Clustering	SiMVC&CoMVC	CVPR
2021	Deep Multiple Auto-Encoder-Based Multi-view Clustering	MVC_MAE	DSE
2021	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos	MCN	ICCV
2021	Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering	Multi-VAE	ICCV
2021	Graph Filter-based Multi-view Attributed Graph Clustering	MvAGC	IJCAI
2021	Multi-view Subspace Clustering Networks with Local and Global Graph Information	MSCNGL	Neurocom
2021	Attentive Multi-View Deep Subspace Clustering Net	AMVDSN	Neurocom		-
2021	Multi-view Contrastive Graph Clustering	MCGC	NeurIPS
2021	Self-supervised Discriminative Feature Learning for Deep Multi-view Clustering	SDMVC	TKDE
2021	Multi-view Attributed Graph Clustering	MAGC	TKDE
2021	Deep Multi-view Subspace Clustering with Unified and Discriminative Learning	DMSC-UDL	TMM
2021	Self-supervised Graph Convolutional Network for Multi-view Clustering	SGCMC	TMM
2021	Consistent Multiple Graph Embedding for Multi-View Clustering	CMGEC	TMM
2021	Deep Multiview Collaborative Clustering	DMCC	TNNLS		-
2020	Partially View-aligned Clustering	PVC	NeurIPS
2020	Cross-modal Subspace Clustering via Deep Canonical Correlation Analysis	CMSC-DCCA	AAAI		-
2020	Shared Generative Latent Representation Learning for Multi-View Clustering	DMVCVAE	AAAI
2020	End-to-End Adversarial-Attention Network for Multi-Modal Clustering	EAMC	CVPR
2020	Multi-View Attribute Graph Convolution Networks for Clustering	MAGCN	IJCAI
2020	End-To-End Deep Multimodal Clustering	DMMC	ICME
2020	Deep Embedded Multi-view Clustering with Collaborative Training	DEMVC	IS
2020	Joint Deep Multi-View Learning for Image Clustering	DMJC	TKDE		-
2020	One2Multi Graph Autoencoder for Multi-view Graph Clustering	O2MVC	WWW
2019	AE^2-Nets: Autoencoder in Autoencoder Networks	AE^2-Nets	CVPR
2019	COMIC: Multi-view Clustering Without Parameter Selection	COMIC	ICML
2019	Deep Adversarial Multi-view Clustering Network	DAMC	IJCAI
2019	Multi-view Spectral Clustering Network	MvSCN	IJCAI
2019	Multi-view Deep Subspace Clustering Networks	MvDSCN	TIP
2018	Generalized Latent Multi-View Subspace Clustering	gLMSC	TPAMI
2018	Deep Multimodal Subspace Clustering Networks	DMSC	STSP
2018	Deep Multi-View Clustering via Multiple Embedding	DMVC-ME	CoRR		-

---

Deep Incomplete Multi-view Clustering(DIMVC)

Year	Title	Abbreviation	Venue	Paper	Code
2024	Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures	DVIMC	AAAI
2024	Partial Multi-View Clustering via Self-Supervised Network	PVC-SCN	AAAI		-
2024	Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding	ICMVC	AAAI
2024	Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering	AGDIMC	AAAI		-
2024	Decoupled Contrastive Multi-view Clustering with High-order Random Walks	DIVIDE	AAAI
2024	Incomplete Multi-View Clustering Via Inference and Evaluation	IMVC-IE	ICASSP
2024	Robust Multi-Graph Contrastive Network for Incomplete Multi-View Clustering	RMGC	TMM		-
2024	Multimodal Patient Representation Learning With Missing Modalities and Labels	MUSE	ICLR		-
2024	Contrastive and Adversarial Regularized Multi-level Representation Learning for Incomplete Multi-view Clustering	MRL_CAL	NN
2024	A novel Federated Multi-view Clustering Method for Unaligned and Incomplete Data Fusion	FUCIF	IF
2024	View-interactive Attention Information Alignment-guided Fusion for Incomplete Multi-view Clustering	VAIAF	ESA		-
2024	Incomplete Multi-view Clustering via Self-attention Networks and Feature Reconstruction	SNFR	APPL INTELL		-
2023	UNTIE: Clustering Analysis with Disentanglement in Multi-view Information Fusion	UNTIE	IF		-
2023	Federated Deep Multi-View Clustering with Global Self-Supervision	FedDMVC	ACM MM		-
2023	Incomplete Multi-view Clustering via Attention-based Contrast Learning	MCAC	IJMLC
2023	Incomplete Multi-View Clustering With Complete View Guidance	IMC-CVG	SPL		-
2023	Information Recovery-driven Deep Incomplete Multiview Clustering Network	RecFormer	TNNLS
2023	Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning	CMVAE	TPAMI		-
2023	Semantic Invariant Multi-View Clustering With Fully Incomplete Information	SMILE	TPAMI
2023	Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment	CPSPAN	CVPR
2023	Adaptive Feature Projection with Distribution Alignment for Deep Incomplete Multi-view Clustering	APADC	TIP
2023	Incomplete Multi-view Clustering via Prototype-based Imputation	ProImp	IJCAI
2023	Consistent Graph Embedding Network with Optimal Transport for Incomplete Multi-view Clustering	CGEN-OT	IS		-
2023	CCR-Net: Consistent Contrastive Representation Network for Multi-view Clustering	CCR-Net	IS
2023	Incomplete Multi-view Clustering Network via Nonlinear Manifold Embedding and Probability-Induced Loss	IMCNet-MP	NN		-
2022	Robust Multi-view Clustering with Incomplete Information	SURE	TPAMI
2022	Dual Contrastive Prediction for Incomplete Multi-view Representation Learning	DCP	TPAMI
2022	Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm	DSIMVC	ICML
2022	Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity	DIMVC	AAAI
2022	Robust Diversified Graph Contrastive Network for Incomplete Multi-view Clustering	RDGC	ACM MM
2022	Incomplete Multi-view Clustering via Cross-view Relation Transfer	CRTC	TCSVT		-
2022	Graph Contrastive Partial Multi-view Clustering	AGCL	TMM
2021	COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction	COMPLETER	CVPR
2021	iCmSC: Incomplete Cross-modal Subspace Clustering	iCmSC	TIP
2021	Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency	GP-MVC	TIP
2021	Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data	CASEN	IJCAI		-
2021	Structural Deep Incomplete Multi-view Clustering Network	SDIMC-net	CIKM		-
2021	Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network	DASIMSC	SPL		-
2020	Deep Partial Multi-View Learning	DPML	TPAMI
2020	CDIMC-net：Cognitive Deep Incomplete Multi-view Clustering Network(	CDIMC-net	IJCAI
2020	DIMC-net：Deep Incomplete Multi-view Clustering Network	DIMC-net	ACM MM		-
2020	Deep Incomplete Multi-View Multiple Clusterings	DiMVMC	ICDM
2019	CPM-Nets: Cross Partial Multi-View Networks	CPM-Nets	NeurIPS
2019	Adversarial Incomplete Multi-view Clustering	AIMC	IJCAI		-
2018	Partial Multi-View Clustering via Consistent GAN	PVC-GAN	ICDM

---

Citation

@inproceedings{jin2023deep,
  title={Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment},
  author={Jin, Jiaqi and Wang, Siwei and Dong, Zhibin and Liu, Xinwang and Zhu, En},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={11600--11609},
  year={2023}
}