Table 3 Performance of proposed and baseline models in task of drug-blind prediction.

From: Drug discovery and mechanism prediction with explainable graph neural networks

Method

Conv type

RMSE (\(\downarrow\))

PCC (\(\uparrow\))

\(\mathbf {R^2}\) (\(\uparrow\))

XGDP (w/o attn)

GCN

0.045 ± 0.018

0.457 ± 0.476

0.480 ± 0.416

GAT

0.038 ± 0.000

0.831 ± 0.003

0.679 ± 0.000

GAT_E

0.037 ± 0.001

0.834 ± 0.010

0.691 ± 0.020

GATv2_E

0.035 ± 0.000

0.847 ± 0.001

0.718 ± 0.002

XGDP

GCN

0.026 ± 0.000

0.918 ± 0.001

0.843 ± 0.002

GAT

0.026 ± 0.000

0.923 ± 0.000

0.851 ± 0.001

GAT_E

0.026 ± 0.000

0.922 ± 0.001

0.849 ± 0.001

GATv2_E

0.026 ± 0.000

0.921 ± 0.001

0.846 ± 0.001

  1. Best performance (marked in bold) is achieved by XGDP-GAT_E.