torch_geometric.datasets.AMiner
- class AMiner(root: str, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None, force_reload: bool = False)[source]
Bases:
InMemoryDataset
The heterogeneous AMiner dataset from the “metapath2vec: Scalable Representation Learning for Heterogeneous Networks” paper, consisting of nodes from type
"paper"
,"author"
and"venue"
. Venue categories and author research interests are available as ground truth labels for a subset of nodes.- 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
)