torch_geometric.data

Contents

Data Objects 

`Data`	A data object describing a homogeneous graph.
`HeteroData`	A data object describing a heterogeneous graph, holding multiple node and/or edge types in disjunct storage objects.
`Batch`	A data object describing a batch of graphs as one big (disconnected) graph.
`TemporalData`	A data object composed by a stream of events describing a temporal graph.
`Dataset`	Dataset base class for creating graph datasets.
`InMemoryDataset`	Dataset base class for creating graph datasets which easily fit into CPU memory.

`FeatureStore`	An abstract base class to access features from a remote feature store.
`GraphStore`	An abstract base class to access edges from a remote graph store.
`TensorAttr`	Defines the attributes of a `FeatureStore` tensor.
`EdgeAttr`	Defines the attributes of a `GraphStore` edge.

`LightningDataset`	Converts a set of `Dataset` objects into a `pytorch_lightning.LightningDataModule` variant.
`LightningNodeData`	Converts a `Data` or `HeteroData` object into a `pytorch_lightning.LightningDataModule` variant.
`LightningLinkData`	Converts a `Data` or `HeteroData` object into a `pytorch_lightning.LightningDataModule` variant.

`makedirs`	Recursively creates a directory.
`download_url`	Downloads the content of an URL to a specific folder.
`extract_tar`	Extracts a tar archive to a specific folder.
`extract_zip`	Extracts a zip archive to a specific folder.
`extract_bz2`	Extracts a bz2 archive to a specific folder.
`extract_gz`	Extracts a gz archive to a specific folder.