gavento / homsearchLinks
Graph homomorphism and retract searching
☆11Updated 10 years ago
Alternatives and similar repositories for homsearch
Users that are interested in homsearch are comparing it to the libraries listed below
Sorting:
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Greedy Randomized Adaptive Search Procedure (GRASP) using Python☆10Updated 9 years ago
- Python library for working with graphons☆23Updated 8 years ago
- Modular Gaussian Processes☆16Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- ☆12Updated 4 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆12Updated last year
- ☆17Updated 2 years ago
- orbital MCMC☆10Updated 4 years ago
- ☆18Updated 4 years ago
- Experiments and content for the "Accelerating hyperbolic t-SNE" paper.☆15Updated last year
- Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…☆10Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 6 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated last year
- ☆10Updated 3 years ago
- Course website static sources.☆11Updated 2 years ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- SetToGraph paper repository☆22Updated 5 years ago
- ☆19Updated last year
- A python package for computing Persistence Curves☆19Updated 4 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆20Updated last year
- ☆37Updated 5 years ago