ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
☆14Aug 20, 2024Updated last year
Alternatives and similar repositories for ChebLieNet
Users that are interested in ChebLieNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for…☆20Oct 26, 2024Updated last year
- Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)☆20Dec 1, 2022Updated 3 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆18Sep 8, 2022Updated 3 years ago
- Official repository for Cell Attention Networks☆15Jan 11, 2024Updated 2 years ago
- ☆19Dec 9, 2023Updated 2 years ago
- 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.
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆18Feb 11, 2023Updated 3 years ago
- Reference implementation for "Group Equivariant Subsampling"☆16Dec 13, 2021Updated 4 years ago
- Cluster-Normalize-Activate Modules☆13Jan 13, 2025Updated last year
- e3nn tutorial for Materials Research Society Fall Meeting 2021☆14Nov 29, 2021Updated 4 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆21Nov 4, 2021Updated 4 years ago
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Dec 8, 2022Updated 3 years ago
- Demo of diffusion models #DDPM applied to molecular dynamics of small peptide☆14Jan 26, 2024Updated 2 years ago
- The code of CVPR2024 "S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering "☆11Apr 3, 2024Updated 2 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Feb 17, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆25Feb 4, 2024Updated 2 years ago
- generative neural network trained with physics knowledge☆14Mar 8, 2021Updated 5 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Jan 12, 2021Updated 5 years ago
- ☆36Aug 19, 2024Updated last year
- Learned Low Rank Prior: The easiest implementation of the deep unrolling/unfolding network for MRI reconstruction.☆11Nov 15, 2022Updated 3 years ago
- ☆18Sep 1, 2022Updated 3 years ago
- GraphCON (ICML 2022)☆60Sep 29, 2022Updated 3 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆12Sep 14, 2021Updated 4 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Nov 30, 2021Updated 4 years ago
- 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.
- Official implementation of the IEEE TGRS'25 paper "Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Feat…☆16Mar 28, 2025Updated last year
- SULoRA: Danfeng Hong, Xiaoxiang Zhu. Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis, IEEE JSTSP, 201…☆12Sep 10, 2020Updated 5 years ago
- the implementation of TMNN. The paper is Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclea…☆11May 31, 2022Updated 4 years ago
- Implementation for Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimiz…☆12Mar 22, 2023Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 5 years ago
- Graph Neural PDEs☆340Oct 20, 2022Updated 3 years ago
- ☆19Jan 7, 2026Updated 6 months ago
- This repository implements Distilled Graph Attention Policy Networks (DGAPNs), a curiosity-driven reinforcement learning model to generat…☆21Jan 21, 2022Updated 4 years ago
- 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.
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆51Aug 17, 2021Updated 4 years ago
- Equivariant network for 3D rigid motion tracking☆11Jun 12, 2024Updated 2 years ago
- The released code of IRTNN algorithm, mainly proposed in the paper "Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery" pu…☆11May 6, 2023Updated 3 years ago
- Protein design with infilling language models and reinforcement learning — for antibodies and beyond.☆15Nov 25, 2025Updated 7 months ago
- Riemannian metrics to measure distances in latent space of VAEs☆14Jan 7, 2019Updated 7 years ago
- Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. …☆13Jul 20, 2021Updated 5 years ago
- ☆66Jun 28, 2023Updated 3 years ago