This study uses graph representation learning techniques to analyze a regional labor flow network. The methods employed, VGAE and Role2Vec, reveal community structures and centrality of universities and research institutions in the network.
The study demonstrates the potential of such techniques for analyzing complex networks and uncovering hidden structures.
