Learning from graphs with structural variation

Rune Kok Nielsen, Andreas Nugaard Holm, Aasa Feragen

We study the effect of structural variation in graph data on the predictive performance of graph kernels. To this end, we introduce a novel, noise-robust adaptation of the GraphHop…