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17
E(2)-Equivariant CNNs Library for Pytorch
Created 2019-11-20
189 commits to master branch, last one about a year ago
52
257
lgpl-3.0
6
Deep neural networks for density functional theory Hamiltonian.
Created 2022-05-13
68 commits to main branch, last one 3 months ago
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Created 2022-02-04
20 commits to main branch, last one 2 years ago
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Created 2024-02-10
13 commits to main branch, last one 2 months ago
[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"
Created 2024-01-18
8 commits to main branch, last one 3 months ago
10
56
apache-2.0
3
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
Created 2022-04-25
16 commits to main branch, last one 10 months ago
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
Created 2022-07-01
18 commits to main branch, last one 5 months ago
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
Created 2024-02-13
25 commits to main branch, last one 2 months ago
PENN code for NeurIPS 2022
Created 2022-10-05
6 commits to main branch, last one 2 years ago
4
35
lgpl-3.0
3
Extended DeepH (xDeepH) method for magnetic materials.
Created 2023-02-23
4 commits to main branch, last one about a year ago
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
Created 2022-05-26
20 commits to main branch, last one 4 months ago
A library for building equivariant neural networks and a zoo of implementations & examples.
Created 2022-06-23
48 commits to master branch, last one 2 years ago