PlanetAlign.algorithms.IONE

class IONE(out_dim: int = 100, dtype: dtype = torch.float32)[source]

Bases: BaseModel

Embedding-based method IONE for pairwise plain network alignment. IONE is proposed by the paper “Aligning Users Across Social Networks Using Network Embedding” in IJCAI 2016.

Parameters:

  • out_dim (int, optional) – The output dimension of the embeddings. Default is 100.

  • dtype (torch.dtype, optional) – Data type of the tensors, choose from torch.float32 or torch.float64. Default is torch.float32.

test(dataset: Dataset, gids: List[int] | Tuple[int, ...], metrics: tuple[str] | list[str] = None)
Parameters:

  • dataset (Dataset) – The dataset containing the graphs to be aligned and the training/test data.

  • gids (list[int] or tuple[int, ...]) – The indices of the graphs in the dataset to be aligned.

  • metrics (tuple[str] or list[str], optional) – The metrics to be computed after alignment. Default is None, which computes Hits@K (K=1, 10, 30, 50) and MRR metrics.

train(dataset: Dataset, gid1: int, gid2: int, use_attr: bool = False, total_epochs: int = 100, save_log: bool = True, verbose: bool = True)[source]
Parameters:

  • dataset (Dataset) – The dataset containing graphs to be aligned and the training/test data.

  • gid1 (int) – The graph id of the first graph to be aligned.

  • gid2 (int) – The graph id of the second graph to be aligned.

  • use_attr (bool, optional) – Flag for using attributes. Must be False for IONE. Default is False.

  • total_epochs (int, optional) – Maximum number of training epochs. Default is 10000000.

  • save_log (bool, optional) – Flag for saving the log. Default is True.

  • verbose (bool, optional) – Flag for printing the log. Default is True.