Road segment ranking on SY-Net110
0.0699EMDHetGL2R
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HetGL2RMethod Category=Proposed2025.04 | 0.0699 | 94.59 | 0.2483 | 0.7934 | |
| DR-HGNNMethod Category=Learning-based2025.04 | 0.0774 | 90.13 | 0.2685 | 0.6146 | |
| PDFormerMethod Category=Learning-based2025.04 | 0.0876 | 89.99 | 0.2772 | 0.7023 | |
| GATv2Method Category=Learning-based2025.04 | 0.0889 | 90.73 | 0.2874 | 0.7422 | |
| LambdaLossMethod Category=Learning-based2025.04 | 0.0974 | 84.63 | 0.3469 | 0.6413 | |
| SeHGNNMethod Category=Learning-based2025.04 | 0.0977 | 90.57 | 0.2846 | 0.7592 | |
| Edge-GNNMethod Category=Learning-based2025.04 | 0.1216 | 91.33 | 0.2799 | 0.7805 | |
| GraphRNAMethod Category=Learning-based2025.04 | 0.135 | 81.45 | 0.3037 | 0.6083 | |
| LightGBMMethod Category=Learning-based2025.04 | 0.1502 | 83.47 | 0.3597 | 0.6557 | |
| MGL2RankMethod Category=Learning-based2025.04 | 0.152 | 89.7 | 0.2969 | 0.7311 | |
| HGTMethod Category=Learning-based2025.04 | 0.1542 | 92.87 | 0.2998 | 0.5688 | |
| Dir-GNNMethod Category=Learning-based2025.04 | 0.1635 | 88.47 | 0.3152 | 0.533 | |
| GNNLLMEmbMethod Category=Learning-based2025.04 | 0.1975 | 86.17 | 0.324 | 0.6246 | |
| RankFormerMethod Category=Learning-based2025.04 | 0.2062 | 76.56 | 0.4156 | 0.5325 | |
| CRRankMethod Category=Rule-based2025.04 | 0.2144 | 77.97 | 0.3659 | 0.6239 | |
| TraNode2vecMethod Category=Learning-based2025.04 | 0.2154 | 80.11 | 0.3203 | 0.6004 | |
| ENGINEMethod Category=Learning-based2025.04 | 0.2273 | 83.95 | 0.3116 | 0.5984 | |
| GATMethod Category=Learning-based2025.04 | 0.254 | 87.57 | 0.3004 | 0.6444 | |
| IPageRankMethod Category=Rule-based2025.04 | 0.3083 | 62.66 | 0.4658 | 0.4705 | |
| DeepWalkMethod Category=Learning-based2025.04 | 0.3146 | 70.99 | 0.4329 | 0.5118 | |
| OVED-RankMethod Category=Rule-based2025.04 | 0.336 | 75.78 | 0.3937 | 0.6149 |