MarcTLaw / UltrahyperbolicRepresentation
Ultrahyperbolic Representation Learning
☆12Updated 4 years ago
Alternatives and similar repositories for UltrahyperbolicRepresentation:
Users that are interested in UltrahyperbolicRepresentation are comparing it to the libraries listed below
- 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).☆31Updated 3 years ago
- Automatic differentiation through persistence diagrams with PyTorch☆15Updated 7 months ago
- Embedding graphs in symmetric spaces☆29Updated 3 years ago
- Python-based persistent homology algorithms☆17Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 4 months ago
- Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory☆11Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 2 years ago
- ☆12Updated 3 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆35Updated last month
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆49Updated 2 years ago
- Differentiable Euler Characteristic Transform☆17Updated 6 months ago
- ☆17Updated 6 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆24Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆42Updated 4 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆76Updated 3 years ago
- SetToGraph paper repository☆21Updated 4 years ago
- Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."☆19Updated 2 years ago
- Learning Tree structures and Tree metrics☆23Updated 5 months ago