Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
Antonio Ortega, a professor of electrical engineering at the University of Southern California, will lecture on graph signal processing at the University of Delaware’s Mitchell Hall Auditorium on ...
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