MarcTLaw / UltrahyperbolicRepresentation
Ultrahyperbolic Representation Learning
☆12Updated 4 years ago
Alternatives and similar repositories for UltrahyperbolicRepresentation:
Users that are interested in UltrahyperbolicRepresentation are comparing it to the libraries listed below
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆31Updated 4 years ago
- Embedding graphs in symmetric spaces☆29Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- ☆17Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- ☆12Updated 3 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Updated 4 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆49Updated 2 years ago
- ☆20Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- ☆16Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- Examples of more involved applications using Geomstats☆31Updated 3 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Updated 2 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Automatic differentiation through persistence diagrams with PyTorch☆15Updated 8 months ago
- Random feature latent variable models in Python☆22Updated last year
- ☆18Updated 3 years ago