HGCAE Pytorch implementation. CVPR2021 accepted.
☆45Jun 29, 2023Updated 2 years ago
Alternatives and similar repositories for HGCAE
Users that are interested in HGCAE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Confidence-Based Feature Imputation for Graphs with Partially Known Features (ICLR 2023)☆11Sep 20, 2025Updated 7 months ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆25Dec 9, 2021Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Sep 28, 2021Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Nov 18, 2020Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆665Jul 25, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago
- Hyperbolic Hierarchical Clustering.☆207Oct 5, 2023Updated 2 years ago
- This code is for the paper "Confident Multiple Choice Learning".☆17Aug 4, 2018Updated 7 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 years ago
- Papers and Codes for the deep learning in hyperbolic space☆188Aug 11, 2022Updated 3 years ago
- [ECCV2024][ICCV2023] Official PyTorch implementation of SeiT++ and SeiT☆56Aug 12, 2024Updated last year
- Official PyTorch implementation of Hyperbolic Neural Networks++☆81Mar 19, 2021Updated 5 years ago
- ☆57Aug 16, 2025Updated 8 months ago
- Hypergraph Factorisation☆26Nov 28, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- code for CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data (CVPR 2022)☆24Jan 24, 2023Updated 3 years ago
- [AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity☆26Jul 11, 2023Updated 2 years ago
- ☆11Apr 8, 2022Updated 4 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆17Oct 20, 2022Updated 3 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Jul 5, 2022Updated 3 years ago
- Community evolution on Stack Overflow☆10Dec 10, 2018Updated 7 years ago
- e3nn tutorial for Materials Research Society Fall Meeting 2021☆14Nov 29, 2021Updated 4 years ago
- ☆48Feb 10, 2023Updated 3 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆67Oct 23, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆12May 23, 2024Updated last year
- Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)☆60May 26, 2024Updated last year
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆46Apr 3, 2020Updated 6 years ago
- Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.☆15Jun 17, 2021Updated 4 years ago
- Riemannian approach to batch normalization☆23Nov 16, 2017Updated 8 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Jan 12, 2021Updated 5 years ago
- ☆18Sep 1, 2022Updated 3 years ago
- Hyperbolic Embeddings☆397Jul 6, 2023Updated 2 years ago
- Variational Autoencoder with non-euclidean (hyperbolic) latent space☆12Nov 25, 2022Updated 3 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.
- Learning Features with Parameter-Free Layers, ICLR 2022☆84May 3, 2023Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- This is the official implementation of "Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds" (Accepted at AAAI 2024).☆11May 4, 2024Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- ☆100Mar 24, 2023Updated 3 years ago
- Code for the paper "DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition"☆16Jan 17, 2020Updated 6 years ago
- The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computati…☆12Aug 31, 2023Updated 2 years ago