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2303.04791
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Ewald-based Long-Range Message Passing for Molecular Graphs
8 March 2023
Arthur Kosmala
Johannes Gasteiger
Nicholas Gao
Stephan Günnemann
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Papers citing
"Ewald-based Long-Range Message Passing for Molecular Graphs"
11 / 11 papers shown
Title
Machine learning interatomic potential can infer electrical response
Peichen Zhong
Dongjin Kim
Daniel S. King
Bingqing Cheng
32
1
0
07 Apr 2025
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao
Eike Eberhard
Stephan Günnemann
28
1
0
10 Oct 2024
Hybrid Quantum Graph Neural Network for Molecular Property Prediction
Michael Vitz
Hamed Mohammadbagherpoor
Samarth Sandeep
Andrew Vlasic
Richard Padbury
Anh Pham
AI4CE
25
1
0
08 May 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
51
38
0
14 Feb 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
37
3
0
02 Nov 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
Yu-Ching Lin
Keqiang Yan
Youzhi Luo
Yi Liu
Xiaoning Qian
Shuiwang Ji
66
33
0
12 Jun 2023
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics
M. Schreiner
Ole Winther
Simon Olsson
OOD
AI4CE
41
13
0
29 May 2023
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
212
232
0
12 Oct 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke
Stefan Chmiela
M. Gastegger
Kristof T. Schütt
H. E. Sauceda
K. Müller
174
246
0
01 May 2021
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
232
503
0
20 Oct 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
1