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 ...

In mathematics and computer science, a directed acyclic graph, is a finite directed graph with no directed cycles. It consists of finitely many vertices and edges, with each edge directed from one ...