theSage21 / lorentz-embeddings
Embed arbitrary graphs in Hyperbolic space
☆74Updated 3 years ago
Alternatives and similar repositories for lorentz-embeddings
Users that are interested in lorentz-embeddings are comparing it to the libraries listed below
Sorting:
- Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow☆55Updated 6 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆48Updated last year
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆20Updated 6 years ago
- Learning Tree structures and Tree metrics☆23Updated 9 months ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆134Updated 6 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Hyperbolic Graph Neural Networks☆233Updated 5 years ago
- Multi-relational Poincaré Graph Embeddings☆159Updated 5 years ago
- Poincaré Embedding☆40Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs☆44Updated 2 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago
- ☆109Updated 6 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆88Updated 4 years ago
- ☆172Updated 6 years ago
- Node Embeddings in Dynamic Graphs☆56Updated 3 years ago
- Hyperbolic Embeddings☆384Updated last year
- A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).☆105Updated 2 years ago
- ☆15Updated 6 years ago
- Learning to query complex networks☆117Updated 10 months ago
- Various examples to showcase the functionality of PSL.☆62Updated last year
- Skip-gram word embeddings in hyperbolic space☆34Updated 6 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- Benchmark for Graph Embedding Methods☆47Updated 4 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated 2 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- ☆32Updated 6 years ago
- Gromov-Wasserstein Alignment of Embeddings☆66Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- Injecting Background Knowledge in Neural Models via Adversarial Set Regularisation☆60Updated 7 years ago