GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery

no code implementations • 11 Apr 2023 • Daniel Manu, Jingjing Yao, Wuji Liu, Xiang Sun

In molecular discovery, a generative adversarial network (GAN), which comprises a discriminator to distinguish generated molecules from existing molecules and a generator to generate new molecules, is one of the premier technologies due to its ability to learn from a large molecular data set efficiently and generate novel molecules that preserve similar properties.

Drug Discovery Federated Learning +1