wOOL / STSCLinks
Self-Tuning Spectral Clustering Python
☆37Updated 7 years ago
Alternatives and similar repositories for STSC
Users that are interested in STSC are comparing it to the libraries listed below
Sorting:
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated last year
- Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Emb…☆27Updated 5 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 6 years ago
- Distance Metric Learning Algorithms for Python☆174Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆18Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆35Updated 6 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 3 years ago
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆77Updated 6 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Updated 4 years ago
- Updated version of DCN☆88Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆138Updated last year
- Coresets☆37Updated 3 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆215Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆85Updated 6 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆140Updated 5 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆181Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- ☆120Updated 3 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Lightweight Python library for in-memory matrix completion.☆108Updated 2 years ago
- ☆98Updated 6 years ago
- Toolbox for large scale subspace clustering☆179Updated 3 years ago
- Code for experimentation on graph scattering transforms☆30Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago