There are 2 repositories under equivariant-network topic.
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Deep neural networks for density functional theory Hamiltonian.
[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
PENN code for NeurIPS 2022
A library for building equivariant neural networks and a zoo of implementations & examples.
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
[ICLR 2021] Group Equivariant Generative Adversarial Networks.
ARES implement in PyTorch
Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
Tensorflow 2 port of Group Equivariant Convolutional Neural Networks
Tensorflow 2 / tf.keras port of keras-gcnn.
An environment for running experiments with equivariant GNN architectures
A 3D-equivariant neural network for protein structure accuracy estimation
Dock2D: Synthetic datasets for the molecular recognition problem
A project that seeks to code ud the boardgame hive and train a neural network to play it
Neural implicit reconstruction experiments for the Vector Neuron paper