mil-tokyo / hyperbolic_nn_plusplus
Official PyTorch implementation of Hyperbolic Neural Networks++
☆65Updated 3 years ago
Alternatives and similar repositories for hyperbolic_nn_plusplus:
Users that are interested in hyperbolic_nn_plusplus are comparing it to the libraries listed below
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- Papers and Codes for the deep learning in hyperbolic space☆172Updated 2 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆60Updated 3 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆173Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 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 "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆123Updated last year
- Hyperbolic PCA via Horospherical Projections☆70Updated last year
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆150Updated 3 weeks ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆62Updated 2 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated last year
- Source code for paper "Hyperbolic Graph Attention Network"☆14Updated 3 years ago
- Hyperbolic Graph Neural Networks☆230Updated 5 years ago
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆12Updated 2 years ago
- ☆68Updated last year
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated 6 months 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
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆42Updated 5 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆85Updated 4 years ago
- A list of papers for group meeting☆15Updated last month
- A Pytorch implementation of the optimal transport kernel embedding☆114Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- Difference-of-Entropies (DoE) Estimator☆25Updated 2 years ago
- Embedding graphs in symmetric spaces☆29Updated 3 years ago
- Implicit Graph Neural Networks☆60Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 4 years ago