1c0ab72b12d58cb32812007b1c8870fc04c6dc96,torch_geometric/nn/conv/hypergraph_conv.py,HypergraphConv,__init__,#HypergraphConv#Any#Any#Any#Any#Any#Any#Any#Any#,38

Before Change

            self.alpha_initialized = False
            self.negative_slope = negative_slope
            self.dropout = dropout
            self.aggregate_method = "cat" if concat else "avg"
            self.attrs = nn.Parameter(torch.Tensor(1, heads, 2 * out_channels))

    def norm(self,
             hyper_edge_index,

After Change

        else:
            self.heads = 1
            self.concat = True
            self.weight = Parameter(torch.Tensor(in_channels, out_channels))

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

        self.reset_parameters()

    def reset_parameters(self):
        glorot(self.weight)

Instances