CDGCN: conditional de novo drug generative model using graph convolution networks

DOI10.1007/978-3-031-29119-7_7zbMath1530.92093OpenAlexW4362499643MaRDI QIDQ6070711

Sahely Bhadra, Shikha Mallick

Publication date: 24 November 2023

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-29119-7_7

zbMATH Keywords

de novo drug designgraph generationgraph convolution network

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Medical applications (general) (92C50)

Cites Work

• Positive correlation for increasing events with disjoint dependencies does not imply positive correlation for all increasing events
• Bayesian Estimates of Equation System Parameters: An Application of Integration by Monte Carlo
• Graph Neural Networks: Foundations, Frontiers, and Applications

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