Quantifying the non-isomorphism of global urban road networks using GNNs and graph kernels
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DOI: 10.1038/s41598-025-90839-x
Abstract: A novel concept of quantifying graph non-isomorphism is introduced to measure structural differences between graphs, and thus overcoming the strict limitations of traditional graph isomorphism tests. This paper trains Graph Neural Networks (GNNs) and graph… read more here.
Keywords: isomorphism; non isomorphism; gnns graph; road networks ... See more keywords