Multi-source propagation aware network clustering (MSPANC) published in Neurocomputing 2021

ACMMM24 code of "Learning Dual Enhanced Representation for Contrastive Multi-view Clustering"

TNNLS24 Code of "Deep Multi-view Clustering by Pseudo-label Guided Contrastive Learning and Dual Correlation Learning"

[ACM MM 2023] Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

A framework for advanced multi-graph analysis and method development

The official repos of "CONAN: Contrastive Fusion Networks for Multi-view Clustering".

DCMVC: Dual Contrastive Multi-view Clustering (DCMVC)

Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization.

The code of AAAI 2023 ''Auto-Weighted Multi-View Clustering for Large-Scale Data''

HiPGMC is a highly efficient, parallel Graph-based Multi-view Clustering implementation.

code of Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering with personal explanatory note

Identifying conserved functional modules in multiple biological networks

The source code of paper "Variational Graph Generator for Multi-View Graph Clustering".

code of Multi-view unsupervised feature selection with tensor low-rank minimization with personal explanatory note

code of Tensorized Bipartite Graph Learning for Multi-view Clustering with personal explanatory note

code of Low-rank Constraint Bipartite Graph Learning with personal explanatory note

[ACM MM 2024] Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"

Nextcast: a software suite to analyse and model toxicogenomics data

Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. To appear in IEEE Transactions on Big Data.

Structural regularization based discriminative multi-view unsupervised feature selection