class_docstr: The signed graph convolutional network model from the `"Signed Graph
  Convolutional Network" <https://arxiv.org/abs/1808.06354>`_ paper.
  Internally, this module uses the
  :class:`torch_geometric.nn.conv.SignedConv` operator.
  
  Args:
      in_channels (int): Size of each input sample.
      hidden_channels (int): Size of each hidden sample.
      num_layers (int): Number of layers.
      lamb (float, optional): Balances the contributions of the overall
          objective. (default: :obj:`5`)
      bias (bool, optional): If set to :obj:`False`, all layers will not
          learn an additive bias. (default: :obj:`True`)
class_docstr_tok: ["The","signed","graph","convolutional","network","model","from","the","`","``","Signed","Graph","Convolutional","Network","''","<","https",":","\/\/arxiv.org\/abs\/1808.06354",">","`","_","paper",".","Internally",",","this","module","uses","the",":","class",":","`","torch_geometric.nn.conv.SignedConv","`","operator",".","Args",":","in_channels","(","int",")",":","Size","of","each","input","sample",".","hidden_channels","(","int",")",":","Size","of","each","hidden","sample",".","num_layers","(","int",")",":","Number","of","layers",".","lamb","(","float",",","optional",")",":","Balances","the","contributions","of","the","overall","objective",".","(","default",":",":","obj",":","`","5","`",")","bias","(","bool",",","optional",")",":","If","set","to",":","obj",":","`","False","`",",","all","layers","will","not","learn","an","additive","bias",".","(","default",":",":","obj",":","`","True","`",")"]
code: def __repr__(self) -> str:
      return (
          f"{self.__class__.__name__}({self.in_channels}, "
          f"{self.hidden_channels}, num_layers={self.num_layers})"
      )
  
imports: from typing import Optional, Tuple
  import scipy.sparse
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch_geometric.nn import SignedConv
  from torch_geometric.utils import coalesce, negative_sampling, structured_negative_sampling
label_desc: Use image node_id 12 for calling the SignedGCN obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, self, str, self, str