- class DGraphFin(root: str, transform: Optional[Callable] = None, pre_transform: Optional[Callable] = None)
The DGraphFin networks from the “DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection” paper. It is a directed, unweighted dynamic graph consisting of millions of nodes and edges, representing a realistic user-to-user social network in financial industry. Node represents a Finvolution user, and an edge from one user to another means that the user regards the other user as the emergency contact person. Each edge is associated with a timestamp ranging from 1 to 821 and a type of emergency contact ranging from 0 to 11.
root (str) – Root directory where the dataset should be saved.
transform (callable, optional) – A function/transform that takes in an
torch_geometric.data.Dataobject and returns a transformed version. The data object will be transformed before every access. (default:
pre_transform (callable, optional) – A function/transform that takes in an
torch_geometric.data.Dataobject and returns a transformed version. The data object will be transformed before being saved to disk. (default: