Sparse Matrix Reordering on SuiteSparse 150 (test)
46.67Mean MSP ScoreUDNO
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| UDNO2026.05 | 46.67 | 68.42 | 59.57 | 27.68 | 79.75 | 64.74 | 139.77 | 199.05 | 94.29 | 148.43 | |
| Fiedler VectorType=Graph Theoretical baseline2026.05 | 48.39 | 76.8 | 56.42 | 50.68 | 78.23 | 65.95 | 149.72 | 221.16 | 98.73 | 164.33 | |
| GPCEType=Supervised Deep Learning baseline2026.05 | 49.85 | 86.4 | 61.61 | 37.1 | 84.31 | 59.75 | 146.02 | 201.38 | 100.6 | 154.9 | |
| Metis2026.05 | 53.39 | 94.05 | 73.49 | 34.75 | 82.29 | 73.32 | 139.13 | 196.13 | 98.49 | 150.53 | |
| FiedlerType=Deep Learning baseline2026.05 | 55.66 | 93.92 | 61.62 | 35.23 | 79.95 | 63.16 | 143.2 | 217.16 | 98.86 | 162.9 | |
| AMD2026.05 | 169.24 | 497.53 | 378.22 | 193.12 | 528.85 | 693.29 | 417.09 | 651.8 | 346.85 | 589.88 | |
| Natrual2026.05 | 185.6 | 502.91 | 361.23 | 175.32 | 474.71 | 834.19 | 493.29 | 944.26 | 379.54 | 774.95 |