torch_geometric.datasets.MNISTSuperpixels

class MNISTSuperpixels(root: str, train: bool = True, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, pre_filter: Optional[Callable] = None, force_reload: bool = False)[source]

Bases: InMemoryDataset

MNIST超像素数据集来自“使用混合模型CNN在图和流形上进行几何深度学习”论文，包含70,000个图，每个图有75个节点。 每个图都被标记为10个类别之一。

Parameters:

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

  • train (bool, optional) – If True, loads the training dataset, otherwise the test dataset. (default: True)

  • 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)

  • pre_filter (callable, optional) – A function that takes in an torch_geometric.data.Data object and returns a boolean value, indicating whether the data object should be included in the final dataset. (default: None)

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

统计:

#图表

#节点

#edges

#特性

#classes

70,000

75

~1,393.0

1

10