(num_nodes, row, col, val=None)
| 70 | |
| 71 | |
| 72 | def row_normalization(num_nodes, row, col, val=None): |
| 73 | device = row.device |
| 74 | if val is None: |
| 75 | val = torch.ones(row.shape[0], device=device) |
| 76 | row_sum = get_degrees(row, col, num_nodes) |
| 77 | row_sum_inv = row_sum.pow(-1).view(-1) |
| 78 | row_sum_inv[torch.isinf(row_sum_inv)] = 0 |
| 79 | return val * row_sum_inv[row] |
| 80 | |
| 81 | |
| 82 | def symmetric_normalization(num_nodes, row, col, val=None): |
no test coverage detected