equivariant-networks

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

[ICCV 2025 Highlight] ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness

List of Geometric GNNs for 3D atomic systems

Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch

Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements

Official implementation of E(n)-equivariant Graph Neural Cellular Automata

Cartesian Atomic Moment Potentials -- CAMP

Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets

Symmetry-preserving & Multiresolution learning to solve NP-hard problems in Operations Research

Irreducible Cartesian Natural Tensor Networks -- CarNet

📡 🌀 A platform to use speckle patterns to describe atmospheric turbulence

Cartesian Atomic Moment Potentials -- CAMP

This repository contains four baseline deterministic models and the U-ViT diffusion model for solving the wideband inverse scattering problem.

This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)

E(3)-equivariant GNN that learns oxygen-vacancy configurational energies in high-entropy oxides and Boltzmann-averages them into low-noise Gibbs free energies

Keras 3 hexagonal CNN layers (HexagDLy port) for hexagonally-sampled data — IACT/Cherenkov cameras, etc. — Support for hls4ml in progress

This repository contains the code, data and report for a coursework project that mainly focuses on learning and sampling complex distributions using normalizing flows

Torch implementation of Marc Finzi's Equivariant MLP