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This project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".