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
- Official PyTorch implementation of Hyperbolic Neural Networks++☆65Updated 3 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆173Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆60Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆123Updated last year
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆85Updated 4 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆44Updated 4 years ago
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆114Updated 3 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆133Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- Memory-Based Graph Networks☆101Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Hyperbolic Graph Neural Networks☆230Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆45Updated 4 years ago
- Poincaré Embedding☆40Updated 7 years ago
- ☆65Updated 6 months ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- pytorch implementation of VAE-Gumble-Softmax☆62Updated 4 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 4 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆54Updated last year
- Tensorflow implementation of Invariant Rationalization☆49Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year