Graph neural networks (GNNs) have received intense interest as a rapidly expanding class of machine learning models remarkably well-suited for materials applications. To date, a number of successful ...
Chemical graph theory models a molecule as a graph whose vertices represent atoms and whose edges represent chemical bonds, with the goal of extracting graph invariants that encode chemically ...
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