[visarga]

> For this they use so called neural graph networks (GNN). These neural networks rely on graphs instead of layers arranged one after the other.

This affirmation shows the author has little idea about GNNs. GNNs have layers, and each layer is a graph. In order to implement the graph GNNs use the adjacency matrix to propagate information along the edges. But there are multiple layers of GNN, without multiple layers they would not be able to do multi-hop inferences.