Source code for gigl.experimental.knowledge_graph_embedding.lib.constants.bq

import gigl.src.common.constants.bq as bq_constants
from gigl.src.common.types import AppliedTaskIdentifier
from gigl.src.common.types.graph_data import EdgeType
from gigl.src.common.utils.bq import BqUtils


[docs] def get_src_node_embedding_table_for_edge_type( applied_task_identifier: AppliedTaskIdentifier, edge_type: EdgeType, is_enumerated: bool = False, ): """ Returns the BigQuery table for the embeddings of a specific source node type. Args: applied_task_identifier: The identifier of the applied task. edge_type: The edge type for which to get the embedding table. is_enumerated: Whether the embeddings are enumerated (default is False). Returns: str: The BigQuery table name for the embeddings of the specified source node type. """ bq_table_path = BqUtils.join_path( bq_constants.get_embeddings_dataset_bq_path(), f"{applied_task_identifier}_{edge_type.src_node_type}_{edge_type.relation}_{edge_type.dst_node_type}_src_embeddings{'_enumerated' if is_enumerated else ''}", ) return bq_table_path
[docs] def get_dst_node_embedding_table_for_edge_type( applied_task_identifier: AppliedTaskIdentifier, edge_type: EdgeType, is_enumerated: bool = False, ): """ Returns the BigQuery table for the embeddings of a specific destination node type. Args: applied_task_identifier: The identifier of the applied task. edge_type: The edge type for which to get the embedding table. is_enumerated: Whether the embeddings are enumerated (default is False). Returns: str: The BigQuery table name for the embeddings of the specified source node type. """ bq_table_path = BqUtils.join_path( bq_constants.get_embeddings_dataset_bq_path(), f"{applied_task_identifier}_{edge_type.src_node_type}_{edge_type.relation}_{edge_type.dst_node_type}_dst_embeddings{'_enumerated' if is_enumerated else ''}", ) return bq_table_path