rsonthal / TreeRep
Learning Tree structures and Tree metrics
☆23Updated 6 months ago
Alternatives and similar repositories for TreeRep:
Users that are interested in TreeRep are comparing it to the libraries listed below
- Hyperbolic PCA via Horospherical Projections☆70Updated last year
- Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models☆18Updated 6 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- ☆20Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆32Updated 4 years ago
- Poincaré Embedding☆40Updated 7 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- Python library for working with graphons☆22Updated 7 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆19Updated 6 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆123Updated last year
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆47Updated last year
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- Embed arbitrary graphs in Hyperbolic space☆75Updated 3 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 6 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Hyperbolic Hierarchical Clustering.☆197Updated last year
- ☆16Updated 3 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆40Updated 5 years ago
- ☆26Updated 6 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- Fast graph-regularized matrix factorization☆20Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆45Updated 4 years ago