samirchowdhury / HyperCOTLinks
Code for computing Hypergraph Co-Optimal Transport distances
☆17Updated 2 years ago
Alternatives and similar repositories for HyperCOT
Users that are interested in HyperCOT are comparing it to the libraries listed below
Sorting:
- Persistence differentiation with Gudhi and Tensorflow☆19Updated 2 years ago
- CO-Optimal Transport☆42Updated 5 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆15Updated 5 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 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
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 3 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 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
- Synthetic data sets apt for Topological Data Analysis☆36Updated 2 weeks ago
- Topological Graph Neural Networks (ICLR 2022)☆125Updated 3 years ago
- ☆45Updated 2 years ago
- Code for Optimal Transport for structured data with application on graphs☆104Updated 3 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆15Updated 4 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- Piece-wise Linear curves converted to point-clouds, analysed with Persistent Homology, represented as HyperGraphs.☆17Updated 8 months ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆73Updated last year
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated last month
- Stable Differentiable Causal Discovery (SDCD)☆25Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- HERMES: A software package for simultaneous topological data analysis (persistent Betti numbers) and geometric data analysis (persistent …☆20Updated last year
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago