Figure 4 | Scientific Reports

Figure 4

From: Predicting target–ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery

Figure 4

Initialization of protein contribution during LM \(+\) PM training. Zeroing the linear classifier’s weights that correspond to the protein contribution at the onset of the training (I0) substantially improves the performance compared to a random initialization of the protein contribution (RI). We measured performance in mAP for 15 representative targets.

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