(self)
| 23 | self.reset_parameters() |
| 24 | |
| 25 | def reset_parameters(self): |
| 26 | stdv = 1. / math.sqrt(self.weight.size(1)) |
| 27 | self.weight.data.uniform_(-stdv, stdv) |
| 28 | if self.bias is not None: |
| 29 | self.bias.data.uniform_(-stdv, stdv) |
| 30 | |
| 31 | def forward(self, input, adj): |
| 32 | support = torch.mm(input, self.weight) |