Alternatives and similar repositories for hyperbolics:

Users that are interested in hyperbolics are comparing it to the libraries listed below

• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆175Updated 4 years ago
• facebookresearch / hgnn
  Hyperbolic Graph Neural Networks
  ☆232Updated 5 years ago
• dalab / hyperbolic_cones
  Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882
  ☆133Updated 6 years ago
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆199Updated last year
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆616Updated 8 months ago
• facebookresearch / poincare-embeddings
  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
  ☆1,702Updated 8 months ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆133Updated 4 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆916Updated 11 months ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆124Updated last year
• ibalazevic / multirelational-poincare
  Multi-relational Poincaré Graph Embeddings
  ☆158Updated 5 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• HazyResearch / KGEmb
  Hyperbolic Knowledge Graph embeddings.
  ☆250Updated 3 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆86Updated 5 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆194Updated last year
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆70Updated last year
• snap-stanford / GraphRNN
  ☆421Updated 6 years ago
• facebookresearch / kbc
  Tools for state of the art Knowledge Base Completion.
  ☆252Updated 3 years ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆287Updated 3 years ago
• shagunsodhani / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆279Updated 5 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆555Updated last year
• facebookresearch / GraphLog
  API for accessing the GraphLog dataset
  ☆88Updated 11 months ago
• mil-tokyo / hyperbolic_nn_plusplus
  Official PyTorch implementation of Hyperbolic Neural Networks++
  ☆69Updated 4 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆325Updated 2 years ago
• williamleif / graphqembed
  Learning to query complex networks
  ☆116Updated 10 months ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆174Updated last year
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆404Updated 2 years ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆134Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆638Updated 2 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆62Updated 4 years ago
• DeepGraphLearning / pLogicNet
  ☆143Updated 4 years ago