b8f8a7876bdcbb05040350b2abb3486b5337b454,torch_geometric/utils/get_laplacian.py,,get_laplacian,#Any#Any#Any#Any#Any#,9

Before Change

                                    device=edge_index.device)
        degree_index = degree_index.unsqueeze(0).repeat(2, 1)

        edge_index = torch.cat([edge_index, degree_index], dim=1)
        edge_weight = torch.cat([-edge_weight, deg], dim=0)
    else:
        if normalization == "sym":
            // Compute -A_norm = -D^{-1/2}.A.D^{-1/2}

After Change

        edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]

        // L = I - A_norm.
        edge_index, edge_weight = add_self_loops(
            edge_index, -edge_weight, fill_value=1, num_nodes=num_nodes)
    else:
        // Compute A_norm = -D^{-1} A.
        deg_inv = 1.0 / deg
        deg_inv[deg_inv == float("inf")] = 0

Instances