Advanced graph and sequence neural networks for molecular property prediction and drug discovery
Advanced graph and sequence neural networks for molecular property prediction and drug discovery
Properties of molecules are indicative of their functions and thus are useful in many applications. With the advances of deep-learning methods, computational approaches for predicting molecular properties are gaining increasing momentum. However, there lacks customized and advanced methods and comprehensive tools for this task currently.Here, we develop a suite of …