MarcTLaw / UltrahyperbolicRepresentationLinks
Ultrahyperbolic Representation Learning
☆13Updated 5 years ago
Alternatives and similar repositories for UltrahyperbolicRepresentation
Users that are interested in UltrahyperbolicRepresentation are comparing it to the libraries listed below
Sorting:
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆19Updated 4 years ago
- Embedding graphs in symmetric spaces☆30Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- CO-Optimal Transport☆42Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆85Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 5 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Updated 5 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- ☆21Updated 4 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 7 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆49Updated 9 months ago
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- Examples of more involved applications using Geomstats☆33Updated 4 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆45Updated 5 years ago
- ☆17Updated 4 years ago
- Hyperbolic PCA via Horospherical Projections☆75Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆54Updated 2 months ago
- Learning Tree structures and Tree metrics☆24Updated last year
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- [NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs☆16Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Updated 6 years ago
- Topological Graph Neural Networks (ICLR 2022)☆125Updated 3 years ago