melifluos / Hyperbolic-EmbeddingLinks
Learning neural network embeddings in hyperbolic spaces
☆14Updated 5 years ago
Alternatives and similar repositories for Hyperbolic-Embedding
Users that are interested in Hyperbolic-Embedding are comparing it to the libraries listed below
Sorting:
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆139Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"☆36Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆127Updated last year
- ☆16Updated 7 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- ☆16Updated 4 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- Hyperbolic Graph Neural Networks☆237Updated 5 years ago
- Learning Tree structures and Tree metrics☆23Updated last year
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 4 years ago
- Hyperbolic Hierarchical Clustering.☆202Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 6 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 5 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆77Updated 6 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago