Adaptive Adversarial Augmentation for Molecular Property Prediction
Work
Year: 2024
Type: preprint
Abstract: Graph Neural Networks (GNNs) exhibit potential in predicting the properties of molecules, but computational analyses with the GNNs often encounter the problem of data imbalance or overfitting. Augmen... more
Authors Soyoung Cho, Sungchul Hong, Jong‐June Jeon
Institution University of Seoul
Cites: 26
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Related to: 10
Citation percentile (by year/subfield):
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green