MotifGPL learns prototypes from Beijing's spatial and mobility graphs, extracts motif patterns per prototype, and uses them to classify segregation levels and rewire the urban graph.
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MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation
MotifGPL learns prototypes from Beijing's spatial and mobility graphs, extracts motif patterns per prototype, and uses them to classify segregation levels and rewire the urban graph.