TABLE 3.
Classification performance of FSCC and SOTA methods on the synthetic dataset. The classification performance is measured by the F1 score, followed by the number of labeled training macromolecules in parentheses.
| PDB ID | SHREC19 | SHREC21 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1u6g | 3cf3 | 3gl1 | 3qm1 | 4d8q | avg. F1 | 1u6g | 3cf3 | 3gl1 | 3qm1 | 4v49 | avg. F1 | |
| SHREC-SOTA | 0.52 (1556) | 0.78 (1689) | 0.31 (1539) | 0.19 (1509) | 0.95 (1556) | 0.55 | 0.73 (1268) | 0.96 (1182) | 0.51 (1200) | 0.48 (1148) | 0.97 (1376) | 0.73 |
| 5-way-5-shot (FSCC) | 0.70 (5) | 0.93 (5) | 0.47 (5) | 0.69 (5) | 0.99 (5) | 0.75 | 0.65 (5) | 0.97 (5) | 0.38 (5) | 0.79 (5) | 0.97 (5) | 0.75 |
| 5-way-1-shot (FSCC) | 0.59 (1) | 0.88 (1) | 0.39 (1) | 0.66 (1) | 0.99 (1) | 0.70 | 0.48 (1) | 0.89 (1) | 0.37 (1) | 0.65 (1) | 0.93 (1) | 0.66 |