Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
☆46Sep 15, 2019Updated 6 years ago
Alternatives and similar repositories for s-gwl
Users that are interested in s-gwl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆77Aug 20, 2019Updated 6 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Code for Online Graph Dictionary Learning☆18Mar 1, 2022Updated 4 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 3 years ago
- Official implementation of Joint Multidimensional Scaling☆24Nov 19, 2023Updated 2 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.
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆32Nov 1, 2022Updated 3 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 5 years ago
- ☆18Jul 19, 2022Updated 3 years ago
- CO-Optimal Transport☆41Nov 6, 2020Updated 5 years ago
- Gromov-Wasserstein Alignment of Embeddings☆69Sep 23, 2021Updated 4 years ago
- ☆13May 16, 2018Updated 8 years ago
- Code for Sliced Gromov-Wasserstein☆70Dec 2, 2019Updated 6 years ago
- ☆17Oct 22, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- Wasserstein regularization for sparse multi-task regression☆15Jul 26, 2020Updated 5 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆44Nov 17, 2023Updated 2 years ago
- Clustering using Deep Learning (T-SNE visualization of autoencoder embeddings )☆11Mar 3, 2019Updated 7 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆17Jan 19, 2023Updated 3 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆164Jul 24, 2020Updated 5 years ago
- ☆43Feb 21, 2020Updated 6 years ago
- "Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport" in ICDE 2023☆18Oct 23, 2023Updated 2 years ago
- Code for Optimal Transport for structured data with application on graphs☆107Dec 17, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- Official implementation for SPA: A Graph Spectral Alignment Perspective for Domain Adaptation (NeurIPS 2023)☆18Dec 21, 2023Updated 2 years ago
- The official implementation of "Test-time Adaptation for Regression by Subspace Alignment" (ICLR 2025).☆18Jun 6, 2025Updated last year
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Mar 2, 2021Updated 5 years ago
- [Neurips 2025] Official Implementation of ConfRover models☆28Feb 3, 2026Updated 5 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆33Mar 21, 2024Updated 2 years ago
- Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"☆21Sep 21, 2023Updated 2 years ago
- [CIKM2023] The official implementation of "MPerformer: An SE(3) Transformer-based Molecular Perceptron"☆28Nov 12, 2024Updated last year
- Graph-based learning in Python☆17Mar 9, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Scripts for data and figure generation in SAVER paper☆18Jan 5, 2021Updated 5 years ago
- ☆22Mar 3, 2025Updated last year
- Imputation of single cell RNA-sequencing data with autoencoder☆16Jun 23, 2021Updated 5 years ago
- ☆28Dec 5, 2019Updated 6 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆43Mar 11, 2024Updated 2 years ago
- A repository housing metadata and data files (or links to data files) that are being prepared as sample data bundles for various uses.☆13Feb 12, 2022Updated 4 years ago
- Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)☆35Dec 10, 2025Updated 6 months ago