code: def __init__(self, graph, rep_size=128):
      self.g = graph
      self.node_size = self.g.G.number_of_nodes()
      self.rep_size = rep_size
      self.adj_mat = nx.to_numpy_array(self.g.G)
      self.vectors = {}
      self.embeddings = self.get_train()
      look_back = self.g.look_back_list
  
      for i, embedding in enumerate(self.embeddings):
          self.vectors[look_back[i]] = embedding
  
file_path: OpenNE/src/openne/lap.py
imports: import numpy
  import networkx
label_desc: Use image node_id 1 to create a new LaplacianEigenmaps object from inherited base classes: object with example: obj = LaplacianEigenmaps(graph, rep_size)