Code for Optimal Transport for structured data with application on graphs
☆104Dec 17, 2022Updated 3 years ago
Alternatives and similar repositories for FGW
Users that are interested in FGW are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Sliced Gromov-Wasserstein☆70Dec 2, 2019Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Jun 14, 2019Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Mar 13, 2023Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆74Aug 20, 2019Updated 6 years ago
- ☆13May 16, 2018Updated 7 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 5 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Dec 8, 2022Updated 3 years ago
- CO-Optimal Transport☆42Nov 6, 2020Updated 5 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆80Jan 25, 2024Updated 2 years ago
- ☆17Oct 22, 2020Updated 5 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆17Jan 19, 2023Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆44Sep 15, 2019Updated 6 years ago
- ☆15Sep 2, 2020Updated 5 years ago
- Order-preserving Optimal Transport for Distances between Sequences☆29Oct 4, 2018Updated 7 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Nov 1, 2022Updated 3 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 4 years ago
- Python numerical optimization toolbox☆12Nov 20, 2018Updated 7 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- ☆13Feb 4, 2025Updated last year
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Aug 21, 2016Updated 9 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 7 years ago
- Code repository for the paper "DeepPermNet: Visual Permutation Learning".☆19Oct 6, 2017Updated 8 years ago
- Implementation of the iPiano algorithm for non-convex and non-smooth optimization as described in [1].☆12Nov 28, 2018Updated 7 years ago
- Python implementation of smooth optimal transport.☆61May 5, 2021Updated 4 years ago
- ☆28Dec 5, 2019Updated 6 years ago
- Douglas-Rachford Splitting for Optimal Transport☆12Oct 4, 2021Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- implements optimal transport algorithms in pytorch☆105May 15, 2022Updated 3 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 4 years ago
- NRPSpredictor2 is a program to predict the specificity of bacterial and fungal adenylation domains.☆11Oct 7, 2019Updated 6 years ago
- ☆18Jul 19, 2022Updated 3 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 2 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆246May 9, 2021Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆28Mar 11, 2020Updated 6 years ago