dalab / hyperbolic_nnLinks
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
☆178Updated 4 years ago
Alternatives and similar repositories for hyperbolic_nn
Users that are interested in hyperbolic_nn are comparing it to the libraries listed below
Sorting:
- Hyperbolic Neural Networks, pytorch☆86Updated 6 years ago
- Hyperbolic Embeddings☆389Updated 2 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆88Updated 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
- Hyperbolic Graph Neural Networks☆236Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆126Updated last year
- Hyperbolic Hierarchical Clustering.☆201Updated last year
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆136Updated 5 years ago
- Multi-relational Poincaré Graph Embeddings☆160Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆70Updated 4 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆183Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- ☆144Updated 4 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆168Updated 6 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Implementation of Sparsemax activation in Pytorch☆161Updated 5 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆370Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆71Updated 7 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- ☆292Updated 2 years ago
- Gromov-Wasserstein Alignment of Embeddings☆66Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago