lttam / TreeWasserstein
Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi) --- A valid positive definite Wasserstein kernel for persistence diagrams: exp(-TW/t)
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for TreeWasserstein
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 4 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Python implementation of smooth optimal transport.☆56Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- My persistent homology related code.☆26Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆40Updated 5 years ago
- ☆12Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆71Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 4 years ago
- Efficient LSH-based kernel density estimation☆28Updated 5 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆23Updated last year
- ☆36Updated 4 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 5 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"☆36Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated 2 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 4 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated last year
- Stochastic algorithms for computing Regularized Optimal Transport☆55Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 6 years ago
- Graph kernels☆55Updated 2 years ago