samirchowdhury / HyperCOTLinks
Code for computing Hypergraph Co-Optimal Transport distances
☆16Updated 2 years ago
Alternatives and similar repositories for HyperCOT
Users that are interested in HyperCOT are comparing it to the libraries listed below
Sorting:
- CO-Optimal Transport☆42Updated 5 years ago
- Persistence differentiation with Gudhi and Tensorflow☆19Updated 2 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆15Updated 5 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆15Updated 4 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 11 months ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Embedding graphs in symmetric spaces☆30Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Official implementation of Joint Multidimensional Scaling☆22Updated 2 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆14Updated last year
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- ☆45Updated 2 years ago
- Synthetic data sets apt for Topological Data Analysis☆36Updated this week
- package for ATOL: Automatic Topologically-Oriented Learning☆24Updated 8 months ago
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆116Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated this week
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- Python library for multiparameter persistence☆34Updated 2 weeks ago
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago
- ☆13Updated 2 years ago