class_docstr: Holds information about multiple molecules, for use in feeding information
  into tensorflow. Generated using the agglomerate_mols function
class_docstr_tok: ["Holds","information","about","multiple","molecules",",","for","use","in","feeding","information","into","tensorflow",".","Generated","using","the","agglomerate_mols","function"]
code: def __init__(
      self, nodes, deg_adj_lists, deg_slice, membership, num_mols
  ):
      self.nodes = nodes
      self.deg_adj_lists = deg_adj_lists
      self.deg_slice = deg_slice
      self.membership = membership
      self.num_mols = num_mols
      self.num_atoms = nodes.shape[0]
  
imports: import csv
  import random
  import numpy
label_desc: Use image node_id 1 to create a new MultiConvMol object from inherited base classes: object with example: obj = MultiConvMol(nodes, deg_adj_lists, deg_slice, membership, num_mols)