Fig. 1
From: On the robustness of generalization of drug–drug interaction models
Overall framework. The main steps are as follows. First, a feature extractor network to map inputs \(x := (x^{1}, x^{2}) \in {{\mathcal {X}}}\) to a latent space. Then, each pair of drugs is represented as a feature vector by concatenating the corresponding latent features of the drugs. Last, the feature vectors representing the drug pairs are fed into a deep neural network to train the predictor to uncover potential DDIs