nmonath / hyperbolic_hierarchical_clusteringLinks
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 5 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
Sorting:
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Hyperbolic Hierarchical Clustering.☆201Updated last year
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆131Updated 5 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated 2 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆72Updated 4 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆135Updated 7 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated 9 months ago
- Code for paper Fully Hyperbolic Neural Networks☆79Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- Code for Neural Manifold Clustering and Embedding☆60Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆73Updated 2 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆60Updated 5 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆158Updated 5 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆137Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Hyperbolic Graph Neural Networks☆236Updated 5 years ago