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3.5. Results In this section, we evaluate all baselines with the above six evaluation metrics by quantitatively measuring their performance on two benchmark datasets, respectively. In Table 2, we present the results of all the models, where several things can be noted. First of all, LINE and SDNE are network embedding (NE)-based algorithms, and they solve DDI problems through conventional network representation learning methods, such as MF and RW.
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