hexiangnan / CoNMFLinks
Co-regularized Non-negative Matrix Factorization
☆19Updated 8 years ago
Alternatives and similar repositories for CoNMF
Users that are interested in CoNMF are comparing it to the libraries listed below
Sorting:
- Subspace clustering through the deep learning approach☆22Updated 9 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 7 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 5 years ago
- Deep Subspace Clustering + GAN☆23Updated 8 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- ☆15Updated 8 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 10 years ago
- ☆20Updated 7 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 6 years ago
- ☆13Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆25Updated 7 years ago
- Implementation of Deep Soft-K means☆29Updated 4 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆10Updated 8 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 8 years ago
- Tensorflow implementation of Deep Embedded Clustering (DEC) for unsupervised learning☆20Updated 8 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 6 years ago
- A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning☆12Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆82Updated 7 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆39Updated last year
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆18Updated 6 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 8 years ago
- Matlab implementation of TCK☆12Updated 6 years ago
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 8 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 5 years ago
- codes for the paper General Tensor Spectral Co-clustering for Higher-Order Data☆17Updated 9 years ago
- Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021☆13Updated 5 years ago