Generating realistic 3d molecules with an equivariant conditional likelihood model

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A comprehensive survey on deep graph representation learning

W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin… - Neural Networks, 2024 - Elsevier
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
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Molgensurvey: A systematic survey in machine learning models for molecule design

Y Du, T Fu, J Sun, S Liu - ar** molecular generative models for directly generating 3D conformation has
recently become a hot research area. Here, an autoencoder based generative model was …
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