FlavorGPN: a graph neural network for multi-label molecular flavor prediction.

Liu J, Shu X, Ren S, Wan S, Pan X

Open source

DOI
10.1007/s11030-026-11702-3
Published
2026 Sep 3
Container
Molecular diversity
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11030-026-11702-3,
  title = {FlavorGPN: a graph neural network for multi-label molecular flavor prediction.},
  author = {Liu J and Shu X and Ren S and Wan S and Pan X},
  year = {2026},
  journal = {Molecular diversity},
  doi = {10.1007/s11030-026-11702-3},
  url = {https://doi.org/10.1007/s11030-026-11702-3}
}

RIS

TY  - JOUR
TI  - FlavorGPN: a graph neural network for multi-label molecular flavor prediction.
AU  - Liu J
AU  - Shu X
AU  - Ren S
AU  - Wan S
AU  - Pan X
PY  - 2026
JO  - Molecular diversity
DO  - 10.1007/s11030-026-11702-3
UR  - https://doi.org/10.1007/s11030-026-11702-3
ER  - 

APA

J, L., X, S., S, R., S, W., & X, P. (2026). FlavorGPN: a graph neural network for multi-label molecular flavor prediction.. Molecular diversity. https://doi.org/10.1007/s11030-026-11702-3

Source records