Alternatives and similar repositories for HGCAE:

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

• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆65Updated 2 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆55Updated 3 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago
• JindouDai / H2H-GCN
  ☆14Updated 3 years ago
• mil-tokyo / hyperbolic_nn_plusplus
  Official PyTorch implementation of Hyperbolic Neural Networks++
  ☆69Updated 4 years ago
• Westlake-AI / Markov-Lipschitz-Deep-Learning
  ☆44Updated 4 years ago
• nmonath / hyperbolic_hierarchical_clustering
  Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…
  ☆44Updated 5 years ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆63Updated 2 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆62Updated 4 years ago
• mlvlab / SELAR
  Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
  ☆55Updated 4 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 5 years ago
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆57Updated 2 years ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 2 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆40Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• yunhuiguo / CO-SNE
  code for CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data (CVPR 2022)
  ☆20Updated 2 years ago
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆31Updated 2 years ago
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆40Updated 4 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆59Updated 3 years ago
• jiaqima / G3NN
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Updated 3 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆57Updated 2 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• DongkiKim95 / D-SLA
  Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)
  ☆18Updated 2 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 4 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆86Updated 5 years ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆41Updated last year
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆116Updated 4 years ago