Papers, codes, datasets, researchers on information bottleneck

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Awesome Continual Multi-view Clustering is a collection of SOTA, novel continual multi-view clustering methods (papers, codes).

TCSVT-2025: The Code of ASIA-MVC(Anchor-guided Sample-and-feature Incremental Alignment Framework for Multi-view Clustering).

Code for "Multi-view Clustering with Incremental Instances and Views", TIP, 2025.

The code for preprint "Generalized Probabilistic Graphical Modeling for Multi-view Bipartite Graph Clustering" is coming soon.

The code for MVBGC-NFF.

The code and data of "Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection" (ICDM 2024)

This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.

[Pattern Recognition Letters 2025] AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer

Artifact evaluation for "E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series" accepted by WWW'24

Fuck Yunhao

Code of TCSVT "Symmetric Multi-view Subspace Clustering with Automatic Neighbor Discovery" Please run the 'demo.m', and reproduce the results on 'MSRCV1' datasets. Any problem can contact mahuimin1…

[CVPR 2024] Code of "Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering"

(TPAMI) 2022 paper "Coordinate Descent Method for k-means" is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

Concept Factorization on Multiple Kernel

IEEE期刊缩写修改

Useful tools for Civilization VI

Publication quality figure for Nemenyi post-hoc test for the Friedman's test

Sparse SVM with pinball loss

the code of CGFMVC

Convex Nonnegative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering

Datasets for Multi-view Learning

MATLAB implementation for Consensus One-step Multi-view Subspace Clustering

The code of "Multi-view K-Means Clustering with Adaptive Sparse Memberships and Weight Allocation". TKDE 2020