rsonthal / TreeRep
Learning Tree structures and Tree metrics
☆23Updated 8 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
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models☆18Updated 8 months ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆34Updated 4 years ago
- ☆20Updated 4 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- Poincaré Embedding☆40Updated 7 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆20Updated 6 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 6 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆47Updated last year
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Hyperbolic Hierarchical Clustering.☆199Updated last year
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- ☆12Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Embed arbitrary graphs in Hyperbolic space☆74Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 7 months ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…☆22Updated 5 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- Python library for working with graphons☆22Updated 7 years ago
- ☆45Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆50Updated 2 years ago