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Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric
  GNNs

Neural P3^33M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs

Neural Information Processing Systems (NeurIPS), 2024
26 September 2024
Yusong Wang
Chaoran Cheng
Shaoning Li
Yuxuan Ren
Jia Zhang
Ge Liu
Pheng-Ann Heng
Nanning Zheng
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs"

4 / 4 papers shown
MCGM: Multi-stage Clustered Global Modeling for Long-range Interactions in Molecules
MCGM: Multi-stage Clustered Global Modeling for Long-range Interactions in Molecules
Haodong Pan
Yusong Wang
Nanning Zheng
Caijui Jiang
121
0
0
26 Sep 2025
Geometric Hyena Networks for Large-scale Equivariant Learning
Geometric Hyena Networks for Large-scale Equivariant Learning
Artem Moskalev
Mangal Prakash
Junjie Xu
Tianyu Cui
Rui Liao
Tommaso Mansi
204
5
0
28 May 2025
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibrationnpj Computational Materials (npj Comput. Mater.), 2025
Paul Fuchs
Michał Sanocki
Julija Zavadlav
482
8
0
31 Jan 2025
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?Neural Information Processing Systems (NeurIPS), 2024
Jiacheng Cen
Anyi Li
Ning Lin
Yuxiang Ren
Zihe Wang
Wenbing Huang
498
20
0
15 Oct 2024
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