melifluos / Hyperbolic-Embedding
Learning neural network embeddings in hyperbolic spaces
☆14Updated 4 years ago
Related projects: ⓘ
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- ☆16Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆53Updated last year
- Learning Tree structures and Tree metrics☆22Updated last month
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- Poincaré Embedding☆40Updated 6 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 6 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆53Updated 2 years ago
- ☆12Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated last year
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 4 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆60Updated 3 years ago
- Code for Graphite iterative graph generation☆56Updated 5 years ago
- ☆20Updated 3 years ago
- Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models☆18Updated last month
- LDP for graph classification☆22Updated 4 years ago
- code for the paper in NeurIPS 2019☆39Updated last year
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆123Updated 11 months ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 2 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 5 years ago
- ☆15Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆100Updated 4 years ago
- ☆30Updated last year
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆32Updated 5 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆18Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆58Updated 3 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆83Updated 5 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆23Updated last year