Abstract: In this paper, we study the generalization capabilities of geometric graph neural networks (GNNs). We consider GNNs over a geometric graph constructed from a finite set of randomly sampled ...

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Peter Morici is a columnist for MarketWatch. He is an economist and professor at the Smith School of Business of the University of Maryland. Follow him on Twitter @pmorici1.

Key features of linear graphs are: gradient or slope: Represents the steepness and direction of the line \(x\)- and \(y\)-axes intercepts: The points where the line crosses the \(x\)-axis and ...