4 papers
MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
Jian Zhu, Xin Zou, Jun Sun +7
In recent years, the advancement of Graph Neural Networks (GNNs) has significantly propelled progress in Multi-View Clustering (MVC). However, existing methods face the problem of…
Generative Diffusion Contrastive Network for Multi-View Clustering
Jian Zhu, Xin Zou, Xi Wang +3
In recent years, Multi-View Clustering (MVC) has been significantly advanced under the influence of deep learning. By integrating heterogeneous data from multiple views, MVC enhanc…
Trusted Mamba Contrastive Network for Multi-View Clustering
Jian Zhu, Xin Zou, Lei Liu +4
Multi-view clustering can partition data samples into their categories by learning a consensus representation in an unsupervised way and has received more and more attention in rec…
Deep Mamba Multi-modal Learning
Jian Zhu, Xin Zou, Yu Cui +3
Inspired by the excellent performance of Mamba networks, we propose a novel Deep Mamba Multi-modal Learning (DMML). It can be used to achieve the fusion of multi-modal features. We…