torch_geometric.datasets.GNNBenchmarkDataset

class GNNBenchmarkDataset(root: str, name: str, split: str = 'train', transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, pre_filter: Optional[Callable] = None, force_reload: bool = False)[source]

Bases: InMemoryDataset

来自“基准测试图神经网络”论文的各种人工和半人工生成的图数据集。

注意

ZINC数据集通过 torch_geometric.datasets.ZINC提供。

Parameters:

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

  • name (str) – 数据集的名称（可以是 "PATTERN", "CLUSTER", "MNIST", "CIFAR10", "TSP", "CSL" 中的一个）

  • split (str, optional) – If "train", loads the training dataset. If "val", loads the validation dataset. If "test", loads the test dataset. (default: "train")

  • 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:

名称

#图表

#节点

#edges

#特性

#classes

模式

14,000

~118.9

~6,098.9

3

2

集群

12,000

~117.2

~4,303.9

7

6

MNIST

70,000

~70.6

~564.5

3

10

CIFAR10

60,000

~117.6

~941.2

5

10

旅行商问题

12,000

~275.4

~6,885.0

2

2

CSL

150

~41.0

~164.0

0

10