torch_geometric.data.get_features_for_triplets

get_features_for_triplets(indexer: LargeGraphIndexer, triplets: Iterable[Tuple[str, str, str]], node_feature_name: str = 'x', edge_feature_name: str = 'edge_attr', pre_transform: Optional[Callable[[Tuple[str, str, str]], Tuple[str, str, str]]] = None, verbose: bool = False) → Data[source]
For a given set of triplets retrieve a Data object containing the

从索引中获取独特的图形和特征。

Parameters:

  • indexer (LargeGraphIndexer) – Indexer containing desired features

  • triplets (KnowledgeGraphLike) – 用于获取特征的三元组

  • node_feature_name (str, optional) – 用于节点特征的特征。 默认为“x”。

  • edge_feature_name (str, optional) – 用于边缘特征的特征。 默认为“edge_attr”。

  • pre_transform (可选[Callable[[TripletLike], TripletLike]]) – 可选的三元组预处理函数。默认为 None。

  • verbose (bool, optional) – Whether to print progress. Defaults to False.

Returns:

包含唯一图和特征的数据对象

给定三元组的索引。

Return type:

Data