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Relevance of Rotationally Equivariant Convolutions for Predicting
  Molecular Properties

Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties

19 August 2020
Benjamin Kurt Miller
Mario Geiger
Tess E. Smidt
Frank Noé
ArXivPDFHTML

Papers citing "Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties"

16 / 16 papers shown
Title
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
43
0
0
16 Apr 2025
Molecule Graph Networks with Many-body Equivariant Interactions
Molecule Graph Networks with Many-body Equivariant Interactions
Zetian Mao
Jiawen Li
Chen Liang
Diptesh Das
Masato Sumita
Koji Tsuda
Kelin Xia
Koji Tsuda
35
1
0
19 Jun 2024
Implicit Convolutional Kernels for Steerable CNNs
Implicit Convolutional Kernels for Steerable CNNs
Maksim Zhdanov
Nico Hoffmann
Gabriele Cesa
24
5
0
12 Dec 2022
Hierarchical Learning in Euclidean Neural Networks
Hierarchical Learning in Euclidean Neural Networks
Joshua A. Rackers
P. Rao
28
1
0
10 Oct 2022
e3nn: Euclidean Neural Networks
e3nn: Euclidean Neural Networks
Mario Geiger
Tess E. Smidt
24
173
0
18 Jul 2022
Transferring Chemical and Energetic Knowledge Between Molecular Systems
  with Machine Learning
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning
Sajjad Heydari
S. Raniolo
L. Livi
V. Limongelli
15
2
0
06 May 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDL
DiffM
9
494
0
06 Mar 2022
Equivariant Graph Attention Networks for Molecular Property Prediction
Equivariant Graph Attention Networks for Molecular Property Prediction
Tuan Le
Frank Noé
Djork-Arné Clevert
11
21
0
20 Feb 2022
Relative Molecule Self-Attention Transformer
Relative Molecule Self-Attention Transformer
Lukasz Maziarka
Dawid Majchrowski
Tomasz Danel
Piotr Gaiñski
Jacek Tabor
Igor T. Podolak
Pawel M. Morkisz
Stanislaw Jastrzebski
MedIm
32
33
0
12 Oct 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
22
285
0
26 Jul 2021
Learning Gradient Fields for Molecular Conformation Generation
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi
Shitong Luo
Minkai Xu
Jian Tang
DiffM
AI4CE
19
210
0
09 May 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
28
974
0
19 Feb 2021
Symmetry-Aware Actor-Critic for 3D Molecular Design
Symmetry-Aware Actor-Critic for 3D Molecular Design
G. Simm
Robert Pinsler
Gábor Csányi
José Miguel Hernández-Lobato
AI4CE
8
64
0
25 Nov 2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
221
500
0
20 Oct 2020
Coarse Graining Molecular Dynamics with Graph Neural Networks
Coarse Graining Molecular Dynamics with Graph Neural Networks
B. Husic
N. Charron
Dominik Lemm
Jiang Wang
Adria Pérez
...
Yaoyi Chen
Simon Olsson
Gianni de Fabritiis
Frank Noé
C. Clementi
AI4CE
29
158
0
22 Jul 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
162
1,775
0
02 Mar 2017
1