torch_geometric.datasets.AmazonProducts

class AmazonProducts(root: str, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, force_reload: bool = False)[source]

Bases: InMemoryDataset

The Amazon dataset from the “GraphSAINT: Graph Sampling Based Inductive Learning Method” paper, containing products and its categories.

Parameters:
  • root (str) – Root directory where the dataset should be saved.

  • transform (Optional[Callable], default: None) – 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.

  • pre_transform (Optional[Callable], default: None) – A function/transform that takes in a torch_geometric.data.Data object and returns a transformed version. The data object will be transformed before being saved to disk.

  • force_reload (bool, default: False) – Whether to re-process the dataset.

STATS:

#nodes

#edges

#features

#classes

1,569,960

264,339,468

200

107