wOOL / STSC
Self-Tuning Spectral Clustering Python
☆36Updated 6 years ago
Alternatives and similar repositories for STSC:
Users that are interested in STSC are comparing it to the libraries listed below
- Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Emb…☆26Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆44Updated 5 years ago
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆17Updated 5 years ago
- Updated version of DCN☆84Updated 2 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆132Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- Hyperbolic Hierarchical Clustering.☆200Updated last year
- Code for Optimal Transport for structured data with application on graphs☆100Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Generalized Canonical Correlation Analysis☆50Updated 7 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- ☆94Updated 6 years ago
- Code for experimentation on graph scattering transforms☆29Updated 5 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 10 months ago
- This is outdated -- New version: https://github.com/boyangumn/DCN-New☆94Updated 7 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆43Updated 5 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆45Updated 3 weeks ago
- Pytorch implementation of Improved Deep Embedded Clustering☆103Updated 6 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Deep network that performs spectral clustering☆324Updated 2 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago