torch_geometric.datasets.Airports
- class Airports(root: str, name: str, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, force_reload: bool = False)[source]
Bases:
InMemoryDataset
The Airports dataset from the “struc2vec: Learning Node Representations from Structural Identity” paper, where nodes denote airports and labels correspond to activity levels. Features are given by one-hot encoded node identifiers, as described in the “GraLSP: Graph Neural Networks with Local Structural Patterns” ` paper.
- Parameters:
root (str) – Root directory where the dataset should be saved.
name (str) – The name of the dataset (
"USA"
,"Brazil"
,"Europe"
).transform (callable, optional) – A function/transform that takes in an
torch_geometric.data.Data
object and returns a transformed version. The data object will be transformed before every access. (default:None
)pre_transform (callable, optional) – A function/transform that takes in an
torch_geometric.data.Data
object and returns a transformed version. The data object will be transformed before being saved to disk. (default:None
)force_reload (bool, optional) – Whether to re-process the dataset. (default:
False
)