FIGURE 2.

Architecture of the recurrent neural network decoder. The decoder employs multiple gated recurrent units (GRUs). During model training, the molecule strings of binding drugs are used as the input. Dashed arrows represent the inference stage, in which the token sampled from $P\left(s_{t-1}\right)$ is used as the input at iteration $t$ .