Algorithm Selection on Maximum Clique Algorithm Selection Dataset
90.43AccuracyGAT-MLP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GAT-MLPModel=GAT-MLP2025.08 | 90.43 | 69 | 89.2 | |
| GCN-GFENModel=GCN-GFEN2025.08 | 87.39 | 40.8 | 82.2 | |
| GCN-GlobalModel=GCN-Global2025.08 | 85.22 | 43 | 79.7 | |
| SAGE-GFENModel=SAGE-GFEN2025.08 | 84.78 | 35 | 78.1 | |
| SAGE-GlobalModel=SAGE-Global2025.08 | 84.35 | 42.4 | 79.3 | |
| GIN-GlobalModel=GIN-Global2025.08 | 83.91 | 45.2 | 82.7 | |
| RFModel=RF2025.08 | 82.17 | 67.4 | 83.4 | |
| GIN-GFENModel=GIN-GFEN2025.08 | 79.13 | 42.4 | 78.7 | |
| SAGEModel=SAGE Hamilton et al. (2017)2025.08 | 69.13 | 28.4 | 64.8 | |
| GCNModel=GCN Kipf (2016)2025.08 | 60 | 32.4 | 60.7 | |
| GINModel=GIN Xu et al. (2018); Song et al. (2023)2025.08 | 53.04 | 32.2 | 58.9 |