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Graph neural networks (GNNs) have emerged as a versatile class of machine-learning models designed to process data structured as graphs, capturing relationships among entities through iterative ...

Graph-related technologies, including social networks, transportation systems, and bioinformatics, are continually evolving in various application domains. The advancement of these technologies often ...