nmonath / hyperbolic_hierarchical_clustering
Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.
☆44Updated 4 years ago
Alternatives and similar repositories for hyperbolic_hierarchical_clustering:
Users that are interested in hyperbolic_hierarchical_clustering are comparing it to the libraries listed below
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Hyperbolic Hierarchical Clustering.☆197Updated last year
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆60Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Hyperbolic PCA via Horospherical Projections☆70Updated last year
- Official PyTorch implementation of Hyperbolic Neural Networks++☆66Updated 3 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Supervised hierarchical clustering☆10Updated 4 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆58Updated 4 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated last year
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆19Updated 6 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 4 months ago
- Implementation of Multi-View Information Bottleneck☆129Updated 4 years ago
- Poincaré Embedding☆40Updated 7 years ago
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆40Updated last year
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- A Pytorch implementation of the optimal transport kernel embedding☆114Updated 4 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆174Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆47Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago