Code for Optimal Transport for structured data with application on graphs
☆109Dec 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"☆28Jun 14, 2019Updated 7 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆44Nov 17, 2023Updated 2 years ago
- POT : Python Optimal Transport☆2,828Updated this week
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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 ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆164Jul 24, 2020Updated 6 years ago
- ☆13May 16, 2018Updated 8 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- CO-Optimal Transport☆41Nov 6, 2020Updated 5 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆82Jan 25, 2024Updated 2 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Dec 8, 2022Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆17Oct 22, 2020Updated 5 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆17Jan 19, 2023Updated 3 years ago
- ☆10Jun 22, 2022Updated 4 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆46Sep 15, 2019Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- ☆16Sep 2, 2020Updated 5 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 4 years ago
- Order-preserving Optimal Transport for Distances between Sequences☆30Oct 4, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A python implementation of Patchy-San Convolutional Network for Graph☆41Dec 2, 2020Updated 5 years ago
- Python numerical optimization toolbox☆12Nov 20, 2018Updated 7 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆32Nov 1, 2022Updated 3 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- ☆13Feb 4, 2025Updated last year
- Douglas-Rachford Splitting for Optimal Transport☆12Oct 4, 2021Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 8 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆30Jan 4, 2018Updated 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Python implementation of smooth optimal transport.☆61May 5, 2021Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆52Jun 16, 2025Updated last year
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 5 years ago
- NRPSpredictor2 is a program to predict the specificity of bacterial and fungal adenylation domains.☆11Oct 7, 2019Updated 6 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Jun 24, 2019Updated 7 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…☆245May 9, 2021Updated 5 years ago