DistrictNet learns CMST edge weights with a GNN in a decision-aware way and produces districting solutions that are about 10% cheaper on average than existing methods on real cities.
It shows that, while the area and density may vary across cities, the population statistics are relatively constant
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DistrictNet: Decision-aware learning for geographical districting
DistrictNet learns CMST edge weights with a GNN in a decision-aware way and produces districting solutions that are about 10% cheaper on average than existing methods on real cities.