docstr: Initialize the LocallyLinearEmbedding class
  
  Args:
    graph: nx.DiGraph
      input Graph
    d: int
      dimension of the embedding
docstr_tok: ["Initialize","the","LocallyLinearEmbedding","class","Args",":","graph",":","nx.DiGraph","input","Graph","d",":","int","dimension","of","the","embedding"]
code: def __init__(self, graph, d):
      """Initialize the LocallyLinearEmbedding class
  
      Args:
        graph: nx.DiGraph
          input Graph
        d: int
          dimension of the embedding
      """
  
      self._d = d
      self._method_name = "lle_svd"
      self.g = graph
      self._node_num = graph.node_size
      self.learn_embedding()
  
file_path: OpenNE/src/openne/lle.py
imports: from time import time
  import networkx
  import numpy
  import scipy.io
  import scipy.sparse
  import scipy.sparse.linalg
  from .None import graph
  from sklearn.preprocessing import normalize
label_desc: Use image node_id 1 to create a new LLE object from inherited base classes: object with example: obj = LLE(graph, d)