Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

The work in this paper is motivated by I. Banič and A. Taranenko’s recent paper, where they introduced a new notion, the span of a graph. Their goal was to solve the problem of keeping the safety ...