Table 2 Table of common benchmark datasets for graph learning tasks.
From: Graph neural networks for materials science and chemistry
Molecules | Size | Tasks | Type | Description |
|---|---|---|---|---|
QM789 | 7165 | 1 | R | DFT quantum calculations |
QM7b90 | 7211 | 13 | R | DFT quantum calculations |
QM962 | 133,885 | 12 | R | DFT quantum calculations |
PDBBind91 | 23,496 | 1 | R | protein binding affinity |
>100,000 | ≥1 | R | molecular dynamics trajectories | |
FreeSolv94 | 643 | 1 | R | solvation free energy |
Lipop95 | 4200 | 1 | R | lipophilicity |
Tox2195 | 8014 | 12 | C | qualitative toxicity measurement |
ToxCast96 | 8615 | 617 | C | qualitative toxicity measurement |
BBBP97 | 2053 | 1 | C | blood–brain barrier penetration |
HIV95 | 41,913 | 1 | C | inhibition to virus HIV |
1427 | 27 | C | adverse drug reaction |