torch_geometric.datasets.MovieLens100K

class MovieLens100K(root: str, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, force_reload: bool = False)[source]

Bases: InMemoryDataset

The MovieLens 100K heterogeneous rating dataset, assembled by GroupLens Research from the MovieLens web site, consisting of movies (1,682 nodes) and users (943 nodes) with 100K ratings between them. User ratings for movies are available as ground truth labels. Features of users and movies are encoded according to the “Inductive Matrix Completion Based on Graph Neural Networks” paper.

Parameters:

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

  • transform (callable, optional) – A function/transform that takes in an torch_geometric.data.HeteroData 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.HeteroData 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)

STATS:

Node/Edge Type

#nodes/#edges

#features

#tasks

Movie

1,682

18

User

943

24

User-Movie

80,000

1

1