(self, input, adj)
| 427 | self.bias.data.uniform_(-stdv, stdv) |
| 428 | |
| 429 | def forward(self, input, adj): |
| 430 | output = torch.mm(input, self.weight) |
| 431 | if self.bias is not None: |
| 432 | output = output + self.bias |
| 433 | output = self.bn(output) |
| 434 | return self.sigma(output) |
| 435 | |
| 436 | def __repr__(self): |
| 437 | return self.__class__.__name__ + ' (' \ |