Airport
- class Airport(root: str | Path, download: bool | None = False, train_ratio: float | None = 0.2, dtype: dtype = torch.float32, seed: int | None = 0)[source]
Bases:
DatasetA pair of networks synthesized from the American air-traffic network. Nodes represent airports and an edge exists between two aiports if there are commercial flights between them. The level of activity in each airport is used as node attributes. The two networks are noisy permutations of the original network generated by randomly inserting 10% edges (Airport1) and deleting 15% edges (Airport2) from the original network, respectively. There are in total 1,190 common nodes across two networks.
Graph
#nodes
#edges
#node attrs
#edge attrs
Airport1
1,190
14,958
4
0
Airport2
1,190
11,560
4
0