code: def binary_link_prediction_edge_triplets(
      session, relation_type_to_predict, types_to_ignore
  ):
      edge_type_triplets = get_edge_type_triplets(session)
      edge_type_triplets = [
          e
          for e in edge_type_triplets
          if not (set(e).intersection(types_to_ignore))
      ]
      replace_relation_with_binary_edge(
          edge_type_triplets, relation_type_to_predict
      )
      edge_type_triplets_reversed = reverse_edge_type_triplets(
          edge_type_triplets
      )
      return edge_type_triplets, edge_type_triplets_reversed
  
file_path: typedb-ml/typedb_ml/pytorch_geometric/transform/binary_link_prediction.py
imports: import networkx
  from typedb_ml.networkx.iterate import multidigraph_edge_data_iterator
  from typedb_ml.typedb.type import get_edge_type_triplets, reverse_edge_type_triplets
label_desc: Use image node_id 2 for calling a global function with example usage: binary_link_prediction_edge_triplets(session, relation_type_to_predict, types_to_ignore) and returns: edge_type_triplets,  edge_type_triplets_reversed