Graph Alignment on CA-NETSCIENCE (10% noise)
794NCEFUGAL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FUGAL2025.10 | 794 | 60.3 | |
| ChFGNN ER4Training Data=Erdos-Renyi graphs2025.10 | 818 | 63.5 | |
| ChFGNN-ER4training_source=sparse Erdos–Rényi graphs (d=4), transfer_mode=zero-shot2025.10 | 818 | 64 | |
| FAQ(Dcx)Initialization=Convex-optimum initialization Dcx2025.10 | 822 | 65.2 | |
| FAQ(Dcx)initialization=Dcx2025.10 | 822 | 65 | |
| ChFGNNTraining Data=Specific network and noise level2025.10 | 824 | 65.4 | |
| ChFGNNtraining_source=target network and noise level, transfer_mode=dataset-specific2025.10 | 824 | 65 | |
| MAX NCEInitialization=True permutation (prior to noising)2025.10 | 826 | — |