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Atomistic line graph neural network for improved materials property predictions

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.

Correction Crossref 4 open · 4 total · 0 disputed
DOI
10.1038/s41524-021-00650-1
Notice DOI
10.1038/s41524-022-00913-5
Event date
2022-10-28
Machine twin
JSON

01One-hop citing occurrences

Correction Open
Tree-Line graphs and their quantum walks

ref [12] · 2504.13000 · notice #1278 · dispute

Raw extraction · bibliography line

K. Choudhary, B. DeCost , Atomoistic Line Graph Neural Network for im- proved materials property predictions , npj Computational Materials (2021)7:185, https://doi.org/10.1038/s41524-021-00650-1 13

Parser render (TeX stripped for reading; raw above is the evidence)

K. Choudhary, B. DeCost, Atomoistic Line Graph Neural Network for im- proved materials property predictions, npj Computational Materials (2021)7:185, https://doi.org/10.1038/s41524-021-00650-1 13

Correction Open
Spatial statistics for screening molecular structures

ref [21] · 2605.17147 · notice #1277 · dispute

Raw extraction · bibliography line

Kamal Choudhary and Brian DeCost. Atomistic Line Graph Neural Network for improved materials property predictions.npj Computational Materials, 7(1):1–8, November 2021. ISSN 2057-3960. doi: 10.1038/s41524-021-00650-1. URL https://www.nature.com/ articles/s41524-021-00650-1. Number: 1

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