Graph Retrieval on FR (test)
0.875MAPIsoNet++
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| IsoNet++Aggregation strategy=multi-round, Graph representation level=Edge2025.10 | 0.875 | 0.769 | |
| IsoNet++Aggregation strategy=multi-round, Graph representation level=Node2025.10 | 0.855 | 0.737 | |
| IsoNet++Aggregation strategy=multi-layer, Graph representation level=Edge2025.10 | 0.812 | 0.67 | |
| IsoNet++Aggregation strategy=multi-layer, Graph representation level=Node2025.10 | 0.802 | 0.657 | |
| multi-round IsoNet++ (Edge)Training Dataset=AIDS2025.10 | 0.799 | — | |
| IsoNetGraph representation level=Edge2025.10 | 0.722 | 0.538 | |
| IsoNetGraph representation level=Node2025.10 | 0.68 | 0.475 | |
| GMN2025.10 | 0.662 | 0.45 | |
| multi-round IsoNet++ (Node)Training Dataset=Mutag2025.10 | 0.626 | — | |
| EGSC2025.10 | 0.607 | 0.382 | |
| GEN2025.10 | 0.575 | 0.368 | |
| Neuromatch2025.10 | 0.559 | 0.35 | |
| GREED2025.10 | 0.512 | 0.287 | |
| GraphSim2025.10 | 0.423 | 0.227 | |
| H2MN2025.10 | 0.412 | 0.189 | |
| GOTSim2025.10 | 0.373 | 0.166 | |
| SimGNN2025.10 | 0.341 | 0.155 |