Awesome Open Source

Programming Languages

Search results for graph neural networks equivariance

graph-neural-networks x

9 search results found

Egnn Pytorch ⭐ 340

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

Equibind ⭐ 321

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Geometric Gnn Dojo ⭐ 307

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

Diffsbdd ⭐ 227

A Euclidean diffusion model for structure-based drug design.

Equidock_public ⭐ 81

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

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Simple Equivariant Gnn ⭐ 59

A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

[ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".

Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)

Official source code for "Roto-translated Local Coordinate Frames For Interacting Dynamical Systems". In NeurIPS 2021

Lgn Autoencoder ⭐ 7

Lorentz group equivariant autoencoders based on Lorentz Group Network

Related Searches

Python Graph Neural Networks (439)

Deep Learning Graph Neural Networks (211)

Pytorch Graph Neural Networks (174)

Jupyter Notebook Graph Neural Networks (121)

Machine Learning Graph Neural Networks (120)

Graph Neural Networks Gnn (76)

Graph Neural Networks Geometric Deep Learning (47)

Python Equivariance (38)

Graph Neural Networks Pytorch Geometric (38)

Protein Graph Neural Networks (16)

1-9 of 9 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.