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 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
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆61Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆131Updated 4 years ago
- Hyperbolic PCA via Horospherical Projections☆71Updated last year
- 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 Hierarchical Clustering.☆199Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Supervised hierarchical clustering☆10Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 5 months ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆58Updated 4 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆153Updated 4 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆175Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆69Updated 4 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆116Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆134Updated 6 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆100Updated 4 years ago