E(2)-Equivariant CNNs Library for Pytorch
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Oct 17, 2023 - Python
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equivariant-network
Here are 32 public repositories matching this topic...
Deep neural networks for density functional theory Hamiltonian.
dft julia physics pytorch density-functional-theory hamiltonian first-principles-calculations ab-initio-simulations equivariant-network deeph
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Oct 7, 2024 - Python
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
geometry proteins drug-discovery deeplearning docking protein-protein-interaction equivariance graphneuralnetwork drugdiscovery equivariant-network equivariant-representations
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Sep 22, 2023 - Roff
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
machine-learning awesome deep-neural-networks deep-learning graph graph-algorithms artificial-intelligence supervised-learning awesome-list iclr awesome-lists graph-neural-networks semisupervised-learning gnn graph-neural-network graph-transformer equivariant-network grap-clustering iclr2024
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Nov 16, 2024
[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"
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Nov 2, 2024 - Python
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
transformer attention-mechanism equivariance table-to-text equivariant-network equivariant-representations
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Apr 1, 2024 - Python
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
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Aug 16, 2024 - Python
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
protein protein-design protein-representation-learning diffusion-models ligand-binding equivariant-network
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Nov 25, 2024 - Python
PENN code for NeurIPS 2022
machine-learning deep-learning pde-solver physical-simulation graph-neural-network equivariant-network
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Jan 11, 2023 - Python
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
graph-neural-networks self-supervised-learning pre-trained-model score-matching equivariant-network ai4science
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Sep 14, 2024 - Python
Extended DeepH (xDeepH) method for magnetic materials.
dft physics pytorch density-functional-theory hamiltonian first-principles-calculations ab-initio-simulations equivariant-network deeph
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Jun 14, 2023 - Python
A library for building equivariant neural networks and a zoo of implementations & examples.
protein-structure pytorch molecular-modeling geometric-deep-learning diffusion-models equivariant-network score-based-generative-models
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Aug 9, 2022 - Python
[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
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Oct 5, 2023 - Python
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
cnn pytorch convolutional-neural-networks surfaces siggraph spherical-geometry 360-photo spherical-panoramas spherical-cnn equivariance omnidirectional-images mobius-transformation equivariant-network equivariant-representations omnidirectional-vision siggraph2022
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May 31, 2024 - Python
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
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Dec 6, 2023 - Python
[ICLR 2021] Group Equivariant Generative Adversarial Networks.
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May 6, 2021 - Python
ARES implement in PyTorch
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Feb 27, 2024 - Python
Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
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Dec 5, 2023 - Jupyter Notebook
FILTRA: Rethinking Steerable CNN by Filter Transform, ICML2021
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Mar 1, 2022 - Python
Tensorflow 2 port of Group Equivariant Convolutional Neural Networks
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May 12, 2021 - Python
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