LirongWu / GCMLLinks
Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"
☆20Updated 2 years ago
Alternatives and similar repositories for GCML
Users that are interested in GCML are comparing it to the libraries listed below
Sorting:
- Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021☆13Updated 4 years ago
- Self-supervised semi-supervised nonnegative matrix factorization for data clustering☆16Updated 2 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…☆14Updated 4 years ago
- Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, …☆12Updated 5 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 5 years ago
- ☆13Updated 4 years ago
- Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations☆12Updated 7 years ago
- single-cell graph autoencoder☆24Updated 3 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- ☆18Updated 3 years ago
- [TFS 2020] Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization☆34Updated 3 years ago
- ☆15Updated last year
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated 2 years ago
- Deep Embedded K-means Clustering (DEKM)☆29Updated 2 weeks ago
- Code for Online Graph Dictionary Learning☆18Updated 3 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Official implementation of Joint Multidimensional Scaling☆21Updated last year
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆43Updated 2 years ago
- ☆17Updated 5 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- ☆12Updated last year
- Convex Nonnegative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection☆16Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering☆52Updated 2 years ago
- single-cell graph attentional clustering☆14Updated 3 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 10 months ago