Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra
- DOI
- 10.15488/16104
- Published
- 2023
- Container
- Not recorded
- Publisher
- Washington, DC : ACS Publications
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.15488/16104,
title = {Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra},
author = {Kotobi, Amir and Singh, Kanishka and Höche, Daniel and Bari, Sadia and Meißner, Robert H. and Bande, Annika},
year = {2023},
doi = {10.15488/16104},
url = {https://doi.org/10.15488/16104}
}RIS
TY - JOUR TI - Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra AU - Kotobi, Amir AU - Singh, Kanishka AU - Höche, Daniel AU - Bari, Sadia AU - Meißner, Robert H. AU - Bande, Annika PY - 2023 DO - 10.15488/16104 UR - https://doi.org/10.15488/16104 ER -
APA
Amir, K., Kanishka, S., Daniel, H., Sadia, B., H., M. R., & Annika, B. (2023). Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra. https://doi.org/10.15488/16104
Source records
- datacite · retrieved 2026-09-25T17:39:11.159Z