ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.11333
  4. Cited By
Scalable training of graph convolutional neural networks for fast and
  accurate predictions of HOMO-LUMO gap in molecules

Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules

22 July 2022
J. Choi
Pei Zhang
Kshitij Mehta
Andrew E. Blanchard
Massimiliano Lupo Pasini
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules"

2 / 2 papers shown
Title
GRPE: Relative Positional Encoding for Graph Transformer
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
43
76
0
30 Jan 2022
Transitioning from file-based HPC workflows to streaming data pipelines
  with openPMD and ADIOS2
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
F. Poeschel
E. Juncheng
William F. Godoy
N. Podhorszki
S. Klasky
...
Junmin Gu
F. Koller
R. Widera
Michael Bussmann
A. Huebl
21
18
0
13 Jul 2021
1