It can be observed that both AUC and PRC values show an increasing trend as the pooling ratio increases, with the model achieving optimal performance at a pooling ratio of 0.8.
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T-pGNN4DTI: Towards better drug-target interactions prediction using Global Self-attentive Pooled Graph Convolutional Networks and protein pre-training Models.
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