xiaoiker / Awesome-Hyperbolic-NeuralNetworksLinks
Papers and Codes for the deep learning in hyperbolic space
☆180Updated 3 years ago
Alternatives and similar repositories for Awesome-Hyperbolic-NeuralNetworks
Users that are interested in Awesome-Hyperbolic-NeuralNetworks are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of Hyperbolic Neural Networks++☆73Updated 4 years ago
- Code for paper Fully Hyperbolic Neural Networks☆81Updated 2 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆168Updated 7 months ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆64Updated 2 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆131Updated 5 years ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆509Updated last week
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆228Updated 4 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆111Updated 2 years ago
- ☆22Updated 3 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆158Updated 5 years ago
- Differentiable Top-k Classification Learning☆85Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆213Updated 2 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆42Updated last year
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆334Updated last month
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- ☆54Updated 3 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- ☆15Updated 3 years ago