Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
☆37Jun 11, 2020Updated 5 years ago
Alternatives and similar repositories for matrix-manifolds
Users that are interested in matrix-manifolds are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆60Sep 28, 2021Updated 4 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆25Feb 4, 2024Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆17Nov 8, 2021Updated 4 years ago
- Implementation of WGAN-TS☆13Oct 29, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Nov 18, 2020Updated 5 years ago
- (AAAI23) Riemannian Local Mechanism for SPD Neural Networks☆10Mar 11, 2024Updated 2 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆186Oct 9, 2020Updated 5 years ago
- Examples of more involved applications using Geomstats☆33Mar 6, 2021Updated 5 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,072May 9, 2026Updated 3 weeks ago
- ☆17Mar 16, 2022Updated 4 years ago
- Hyperbolic Graph Neural Networks☆250Oct 26, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Hyperbolic Neural Networks, pytorch☆87Jul 4, 2019Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆129Jul 6, 2023Updated 2 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 3 years ago
- Quaternion Product Units for Deep Learning on 3D Rotation Groups☆19May 19, 2020Updated 6 years ago
- Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices☆10Jun 17, 2017Updated 8 years ago
- Learning with Data on Riemannian Manifolds☆12Mar 19, 2026Updated 2 months ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆66Jan 31, 2021Updated 5 years ago
- resources related to papers☆14Mar 17, 2026Updated 2 months ago
- GitHub repository for "Deep Learning on Lie Groups for Skeleton-based Action Recognition", CVPR 2017.☆65Jun 5, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆16Dec 10, 2020Updated 5 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆143Jun 21, 2018Updated 7 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆30Oct 6, 2022Updated 3 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Jul 30, 2020Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆666Jul 25, 2024Updated last year
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Jun 5, 2021Updated 4 years ago
- Embedding graphs in symmetric spaces☆30Sep 30, 2021Updated 4 years ago
- Hyperbolic Embeddings☆397Jul 6, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆21Nov 4, 2021Updated 4 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆80Jun 21, 2021Updated 4 years ago
- TKDE 2022. CCCL: Contrastive Cascade Graph Learning.☆39Mar 12, 2024Updated 2 years ago
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Dec 8, 2022Updated 3 years ago
- ☆16May 23, 2018Updated 8 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago