Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 Oct 2018Christopher MorrisMartin RitzertMatthias FeyWilliam L. HamiltonJan Eric LenssenGaurav RattanMartin Grohe

In recent years, graph neural networks (GNNs) have emerged as a powerful neural architecture to learn vector representations of nodes and graphs in a supervised, end-to-end fashion. Up to now, GNNs have only been evaluated empirically---showing promising results... (read more)

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