Embed arbitrary graphs in Hyperbolic space
☆79Jan 22, 2022Updated 4 years ago
Alternatives and similar repositories for lorentz-embeddings
Users that are interested in lorentz-embeddings are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆146May 19, 2020Updated 6 years ago
- Hyperbolic Embeddings☆395Jul 6, 2023Updated 3 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆21Jan 16, 2019Updated 7 years ago
- Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow☆56Mar 6, 2019Updated 7 years ago
- Hyperbolic Neural Networks, pytorch☆87Jul 4, 2019Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆89Jan 2, 2021Updated 5 years ago
- A Python tool to visualize geometric shapes in the native representation of hyperbolic space.☆10Nov 14, 2019Updated 6 years ago
- PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"☆1,755May 23, 2025Updated last year
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆145Jun 21, 2018Updated 8 years ago
- Implementation of the Influence Maximization Benchmarker (IMB)☆14Aug 10, 2023Updated 3 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13May 28, 2019Updated 7 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆67Oct 23, 2022Updated 3 years ago
- Learning Tree structures and Tree metrics☆24Aug 8, 2024Updated 2 years ago
- A set of tools to generate synthetic graphs embedded into a hyperbolic space and to test the greedy routing.☆30Jan 21, 2016Updated 10 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"☆38Jan 15, 2020Updated 6 years ago
- Hyperbolic Graph Neural Networks☆251Oct 26, 2019Updated 6 years ago
- Geodesic updates for Nickel & Kiela's graph embedding algorithm in hyperbolic space.☆11Jun 6, 2018Updated 8 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆186Oct 9, 2020Updated 5 years ago
- A Python module for detecting, analysing and visualising persistent homological features of complex networks☆32May 24, 2021Updated 5 years ago
- Taxonomy refinement method to improve domain-specific taxonomy systems.☆31Jun 17, 2024Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆133Oct 3, 2023Updated 2 years ago
- Poincaré Embedding (unofficial)☆229May 7, 2019Updated 7 years ago
- Source codes for our paper "Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation M…☆12Apr 20, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…☆11Jan 18, 2024Updated 2 years ago
- Inference of high-quality embeddings of complex networks into the hyperbolic disk.☆50Oct 28, 2024Updated last year
- An implementation of "Subspace Representations for Soft Set Operations and Sentence Similarities" (NAACL 2024)☆10May 31, 2024Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆189Mar 18, 2023Updated 3 years ago
- ☆12Dec 6, 2024Updated last year
- Demo of diffusion models #DDPM applied to molecular dynamics of small peptide☆14Jan 26, 2024Updated 2 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Jan 16, 2020Updated 6 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Nov 18, 2020Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54May 16, 2022Updated 4 years ago
- Implementation of Poincare Embedding in PyTorch☆13Jul 27, 2017Updated 9 years ago
- A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.☆11Jan 30, 2026Updated 7 months ago
- [ACL 2025] 🔍 Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment☆11Apr 6, 2025Updated last year
- Multi-relational Poincaré Graph Embeddings☆162Oct 9, 2019Updated 6 years ago
- A python library for easily querying morphological inflection models trained on Unimorph☆13Oct 23, 2022Updated 3 years ago
- Hyperbolic Hierarchical Clustering.☆209Oct 5, 2023Updated 2 years ago