lateral / frechet-mean-hyperboloidLinks
☆16Updated 7 years ago
Alternatives and similar repositories for frechet-mean-hyperboloid
Users that are interested in frechet-mean-hyperboloid are comparing it to the libraries listed below
Sorting:
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 6 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 7 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆62Updated 4 years ago
- Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models☆18Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆19Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Hyperbolic Graph Neural Networks☆248Updated 6 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆207Updated 2 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 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 7 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆189Updated 2 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Hyperbolic Embeddings☆394Updated 2 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures☆133Updated 4 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆184Updated 5 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 6 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- ☆77Updated 8 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…☆11Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 6 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆21Updated 7 years ago
- ☆173Updated 7 years ago
- Graph kernels☆56Updated 2 months ago