The expressive power of Graph Neural Networks (GNNs) has been studied extensively through the Weisfeiler-Leman (WL) graph isomorphism test. However, standard GNNs and the WL framework are inapplicable ...
1 Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy 2 Fondazione Bruno Kessler, Digital Industry Center, Technologies of Vision, Trento, Italy Graphs are used as a model of ...
Circular RNAs (circRNAs) play pivotal roles in various biological processes and disease progression, particularly in modulating drug responses and resistance mechanisms. Accurate prediction of circRNA ...
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. Whether you are a machine ...
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