code: def line_loss(y_true, y_pred):
      return -K.mean(K.log(K.sigmoid(y_true * y_pred)))
  
file_path: GraphEmbedding/ge/models/line.py
imports: import math
  import random
  import numpy
  from deepctr.layers.utils import reduce_sum
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.layers import Embedding, Input, Lambda
  from tensorflow.python.keras.models import Model
  from ..alias import create_alias_table, alias_sample
  from ..utils import preprocess_nxgraph
label_desc: Use image node_id 1 for calling a global function with example usage: line_loss(y_true, y_pred) and returns: unknown