torch_geometric_signed_directed.data.signed.SSSNET_real_data
Classes
Data loader for the data sets used in the |
Module Contents
- class SSSNET_real_data(name: str, root: str, transform: Callable | None = None, pre_transform: Callable | None = None)
Bases:
torch_geometric.data.InMemoryDatasetData loader for the data sets used in the SSSNET: Semi-Supervised Signed Network Clustering paper.
- Parameters:
name (str) – Name of the data set, choices are: ‘rainfall’, ‘PPI’, ‘wikirfa’, ‘sampson’, ‘SP1500’, ‘Fin_YNet”+str(year) (year from 2000 to 2020).
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:None)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:None)
- name
- url = 'https://github.com/SherylHYX/pytorch_geometric_signed_directed/raw/main/datasets/Sampson'
- property raw_file_names
- property processed_file_names
- download()
- process()