ferrine / hyrnn
Hyperbolic Neural Networks, pytorch
☆86Updated 5 years ago
Alternatives and similar repositories for hyrnn
Users that are interested in hyrnn are comparing it to the libraries listed below
Sorting:
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆69Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆88Updated 4 years ago
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- 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 "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆44Updated 5 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 4 years ago
- ☆45Updated 4 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆116Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆55Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆65Updated 9 months ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Hyperbolic Graph Neural Networks☆233Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆32Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- SetToGraph paper repository☆22Updated 4 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago