E(2)-Equivariant CNNs Library for Pytorch

Deep neural networks for density functional theory Hamiltonian.

EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

[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.

Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models

PENN code for NeurIPS 2022

[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

Extended DeepH (xDeepH) method for magnetic materials.

[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"

A library for building equivariant neural networks and a zoo of implementations & examples.

Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].

[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".

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♾️.

FILTRA: Rethinking Steerable CNN by Filter Transform, ICML2021

Tensorflow 2 port of Group Equivariant Convolutional Neural Networks