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 ...
There are various types of graphs used to visually represent data, such as bar graphs, pie charts, and histograms. Chenxing Li, a postdoctoral researcher at the University of Georgia's Center for ...
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