Fig. 1

Neural network architecture of transformer used for recommending tools in Galaxy. Figure 1a–b represents how a sequence of tools is transformed into a sequence of integers. Figure 1c–g represents several different neural network layers through which sequences of tools are passed to learn their respective representations and mapping with their respective labels. Figure 1h represents the output in the form of a real-valued vector