6bdcccec91008f0b7658838aa2b786d78bbedf09,torch_geometric/nn/conv/graph_conv.py,GraphConv,__init__,#GraphConv#Any#Any#Any#Any#,26

Before Change

        self.out_channels = out_channels
        self.aggr = aggr
        self.weight = Parameter(torch.Tensor(in_channels, out_channels))
        self.root = Parameter(torch.Tensor(in_channels, out_channels))

        if bias:
            self.bias = Parameter(torch.Tensor(out_channels))
        else:
            self.register_parameter("bias", None)

        self.reset_parameters()

    def reset_parameters(self):
        size = self.in_channels

After Change

        self.in_channels = in_channels
        self.out_channels = out_channels
        self.weight = Parameter(torch.Tensor(in_channels, out_channels))
        self.lin = torch.nn.Linear(in_channels, out_channels, bias=bias)

        self.reset_parameters()

    def reset_parameters(self):

Instances