A hands-on tutorial on quantitative structure-activity relationships using fully expressive graph neural networks.

Kensert A, Desmet G, Cabooter D

DOI: 10.1016/j.aca.2024.343046
Published: 2024 Dec 1
Container: Analytica chimica acta
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.aca.2024.343046,
  title = {A hands-on tutorial on quantitative structure-activity relationships using fully expressive graph neural networks.},
  author = {Kensert A and Desmet G and Cabooter D},
  year = {2024},
  journal = {Analytica chimica acta},
  doi = {10.1016/j.aca.2024.343046},
  url = {https://doi.org/10.1016/j.aca.2024.343046}
}

RIS

TY  - JOUR
TI  - A hands-on tutorial on quantitative structure-activity relationships using fully expressive graph neural networks.
AU  - Kensert A
AU  - Desmet G
AU  - Cabooter D
PY  - 2024
JO  - Analytica chimica acta
DO  - 10.1016/j.aca.2024.343046
UR  - https://doi.org/10.1016/j.aca.2024.343046
ER  -

APA

A, K., G, D., & D, C. (2024). A hands-on tutorial on quantitative structure-activity relationships using fully expressive graph neural networks.. Analytica chimica acta. https://doi.org/10.1016/j.aca.2024.343046

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pubmed · retrieved 2026-09-25T06:26:49.576Z