2 papers
physics.chem-ph2019
Molecular Generative Model Based On Adversarially Regularized Autoencoder
Seung Hwan Hong, Jaechang Lim, Seongok Ryu +1
Deep generative models are attracting great attention as a new promising approach for molecular design. All models reported so far are based on either variational autoencoder (VAE)…
cs.LG2018
Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network
Seongok Ryu, Jaechang Lim, Seung Hwan Hong +1
Molecular structure-property relationships are key to molecular engineering for materials and drug discovery. The rise of deep learning offers a new viable solution to elucidate th…