Papers and Codes for the deep learning in hyperbolic space
Paper Title | Where | Architecture | Task | Code |
---|---|---|---|---|
Hyperbolic Deep Neural Networks: A Survey | TPAMI2021 | Survey | - | - |
Fully Hyperbolic Neural Networks | 2021 | GNN | Graphs | PyTorch |
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders | CVPR2021 | AutoEncoder | Graph | PyTorch |
Learning the Predictability of the Future | CVPR2021 | only Latent | CV | PyTorch |
Hyperbolic Neural Networks++ | ICLR2021 | NN | NLP | PyTorch |
A Hyperbolic-to-Hyperbolic Graph Convolutional Network | CVPR2021 | GNN | Graph | PyTorch |
[HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections] | ICML2021 | NN | Visualization | - |
Generalization Error Bound for Hyperbolic Ordinal Embedding | ICML2021 | NN | NLP | - |
HGCF: Hyperbolic GCN for Collaborative Filtering | WWW2021 | Clustering | Recommendation | PyTorch |
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Hyperbolic Distance Matrices | KDD2020 | Lorentzian | NLP/Tree | python |
Differentiating through the Frechet Mean | ICML 2020 | GNN | Graph | PyTorch |
Constant Curvature Graph Convolutional Networks | ICML 2020 | GCN | Graph | - |
Mix Dimension in Poincar'{e} Geometry for 3D Skeleton-based Action Recognition | MM2020 | GCN | Grpah | - |
Hyperbolic Image Embedding | CVPR2020 | only Latent | CV | PyTorch |
Hyperbolic Zero shot Learning | CVPR2020 | NN | CV | PyTorch |
Hyperbolic Hierarchical Clustering | NeurIPS2020 | Clustering | Classification | PyTorch |
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Hyperbolic graph convolutional neural networks | NeurIPS2019 | GCN | Grpah | PyTorch |
Hyperbolic Ordinal Embedding | ACML2019 | Ordinal Embedding | NLP/Tree | - |
Hyperbolic Graph Neural Networks | NeurIPS2019 | GNN | Molecular Structures | PyTorch |
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Hyperbolic Neural Networks | NeurIPS2018 | NN | NLP | Tensorflow |
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