| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Graph Classification | FRANKENSTEIN node density F0→F2 shift | Accuracy68 | 30 | |
| Graph Classification | FRANKENSTEIN node density F0→F1 shift | Accuracy72.5 | 30 | |
| Graph Classification | FRANKENSTEIN node density domain shift (test) | F-score (F0→F1)69.6 | 15 | |
| Graph Classification | FRANKENSTEIN F3→F2 (edge density shift) | Accuracy72.7 | 15 | |
| Graph Classification | FRANKENSTEIN F2→F3 (edge density shift) | Accuracy62.2 | 15 | |
| Graph Classification | FRANKENSTEIN F3→F1 (edge density shift) | Accuracy60.5 | 15 | |
| Graph Classification | FRANKENSTEIN F1→F3 (edge density shift) | Accuracy60.9 | 15 | |
| Graph Classification | FRANKENSTEIN F2→F1 (edge density shift) | Accuracy79.6 | 15 | |
| Graph Classification | FRANKENSTEIN F1→F2 (edge density shift) | Accuracy66.2 | 15 | |
| Graph Classification | FRANKENSTEIN F3→F0 (edge density shift) | Accuracy65.5 | 15 | |
| Graph Classification | FRANKENSTEIN F0→F3 (edge density shift) | Accuracy61.3 | 15 | |
| Graph Classification | FRANKENSTEIN F2→F0 (edge density shift) | Accuracy75.5 | 15 | |
| Graph Classification | FRANKENSTEIN F0→F2 (edge density shift) | Accuracy65.8 | 15 | |
| Graph Classification | FRANKENSTEIN F1→F0 (edge density shift) | Accuracy76 | 15 | |
| Backdoor Attack | FRANKENSTEIN | Attack Success Rate (ASR)61 | 15 | |
| Classification | FRANKENSTEIN F3→F2 | Accuracy65.6 | 15 | |
| Classification | FRANKENSTEIN F3→F1 | Accuracy60.9 | 15 | |
| Classification | FRANKENSTEIN F3→F0 | Accuracy0.657 | 15 | |
| Classification | FRANKENSTEIN F2→F3 | Accuracy61.7 | 15 | |
| Classification | FRANKENSTEIN F2→F1 | Accuracy68.5 | 15 | |
| Classification | FRANKENSTEIN F2→F0 | Accuracy0.632 | 15 | |
| Classification | FRANKENSTEIN F1→F3 | Accuracy62.1 | 15 | |
| Classification | FRANKENSTEIN F1→F2 | Accuracy64.1 | 15 | |
| Classification | FRANKENSTEIN F1→F0 | Accuracy68 | 15 | |
| Classification | FRANKENSTEIN F0→F3 | Accuracy62.3 | 15 |