Molecular property prediction on QM9 110K molecules (train)
0.0529Dipole Moment (μ)PhysNet
Evaluation Results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PhysNetTraining size=110K molecules2020.09 | 0.0529 | 0.0615 | 32.9 | 27.4 | 42.5 | 0.765 | 1.39 | 8.15 | 8.34 | 8.42 | 9.4 | 0.028 | |
| CormorantTraining size=110K molecules2020.09 | 0.038 | 0.085 | 34 | 38 | 61 | 0.961 | 2.03 | 22 | 21 | 21 | 20 | 0.026 | |
| SchNetTraining size=110K molecules2020.09 | 0.033 | 0.235 | 41 | 34 | 63 | 0.073 | 1.7 | 14 | 19 | 14 | 14 | 0.033 | |
| enn-s2sTraining size=110K molecules2020.09 | 0.03 | 0.092 | 43 | 37 | 69 | 0.18 | 1.5 | 19 | 19 | 17 | 19 | 0.04 | |
| NMP-edgeTraining size=110K molecules2020.09 | 0.029 | 0.077 | 36.7 | 30.8 | 58 | 0.072 | 1.49 | 10.5 | 10.6 | 11.3 | 12.2 | 0.032 | |
| DimeNetTraining size=110K molecules2020.09 | 0.0286 | 0.0469 | 27.8 | 19.7 | 34.8 | 0.331 | 1.29 | 8.02 | 7.89 | 8.11 | 8.98 | 0.0249 | |
| HMGNN-2Training size=110K molecules, Body order summation=2-bodies2020.09 | 0.0283 | 0.0647 | 26.31 | 21.42 | 35.02 | 0.6 | 1.34 | 9.06 | 11 | 8.37 | 11.06 | 0.025 | |
| HMGNN-1Training size=110K molecules, Body order summation=1-bodies2020.09 | 0.0276 | 0.0571 | 24.94 | 20.72 | 33.44 | 0.43 | 1.24 | 6.19 | 7.22 | 6.35 | 7.95 | 0.0241 | |
| HMGNNTraining size=110K molecules, Body order summation=1-bodies and 2-bodies2020.09 | 0.0272 | 0.0561 | 24.78 | 20.61 | 33.31 | 0.416 | 1.18 | 5.92 | 6.85 | 6.08 | 7.61 | 0.0233 |