0aa1073c28edff2434b9a4d0fb0657084441a694,stellargraph/layer/graphsage.py,GraphSAGE,__call__,#GraphSAGE#Any#,533

Before Change

                else _x[0]
            )

        assert isinstance(x, list), "Input features must be a list"
        assert (
            len(x) == self.n_layers + 1 > 1
        ), "Length of input features should match the number of GraphSAGE layers"

After Change

            )

        // Form GraphSAGE layers iteratively
        self.layer_tensors = []
        h_layer = xin
        for layer in range(0, self.n_layers):
            h_layer = apply_layer(h_layer, layer)
            self.layer_tensors.append(h_layer)

        return (
            self._normalization(h_layer[0])
            if len(h_layer) == 1
            else [self._normalization(xi) for xi in h_layer]

Instances