# Extrapolating paths with graph neural networks

@article{Cordonnier2019ExtrapolatingPW, title={Extrapolating paths with graph neural networks}, author={Jean-Baptiste Cordonnier and Andreas Loukas}, journal={ArXiv}, year={2019}, volume={abs/1903.07518} }

We consider the problem of path inference: given a path prefix, i.e., a partially observed sequence of nodes in a graph, we want to predict which nodes are in the missing suffix. In particular, we focus on natural paths occurring as a by-product of the interaction of an agent with a network---a driver on the transportation network, an information seeker in Wikipedia, or a client in an online shop. Our interest is sparked by the realization that, in contrast to shortest-path problems, natural…

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