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E(2)-Equivariant CNNs Library for Pytorch
Created
2019-11-20
189 commits to master branch, last one about a year ago
Deep neural networks for density functional theory Hamiltonian.
Created
2022-05-13
68 commits to main branch, last one about a month 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
12 commits to main branch, last one 7 months ago
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
Created
2022-04-25
16 commits to main branch, last one 7 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 4 days ago
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
Created
2024-02-13
21 commits to main branch, last one 7 days ago
PENN code for NeurIPS 2022
Created
2022-10-05
6 commits to main branch, last one about a year 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 2 months ago
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 about a month 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