Graph Retrieval on FM (test)
90.2MAPIsoNet++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IsoNet++Aggregation strategy=multi-round, Graph representation level=Edge2025.10 | 90.2 | 81.3 | |
| IsoNet++Aggregation strategy=multi-round, Graph representation level=Node2025.10 | 88.8 | 79.7 | |
| IsoNet++Aggregation strategy=multi-layer, Graph representation level=Edge2025.10 | 88.3 | 77.5 | |
| IsoNet++Aggregation strategy=multi-layer, Graph representation level=Node2025.10 | 85.9 | 74.4 | |
| multi-round IsoNet++ (Node)Training Dataset=AIDS2025.10 | 82.8 | — | |
| multi-round IsoNet++ (Edge)Training Dataset=AIDS2025.10 | 81.6 | — | |
| IsoNetGraph representation level=Edge2025.10 | 78.3 | 61.3 | |
| GMN2025.10 | 73 | 53.7 | |
| IsoNetGraph representation level=Node2025.10 | 72.9 | 52.5 | |
| multi-layer IsoNet++ (Node)Training Dataset=Mutag2025.10 | 69.5 | — | |
| multi-round IsoNet++ (Node)Training Dataset=Mutag2025.10 | 67.9 | — | |
| GEN2025.10 | 66.1 | 44.8 | |
| Neuromatch2025.10 | 61.5 | 38.9 | |
| EGSC2025.10 | 60.9 | 36.4 | |
| GREED2025.10 | 55.8 | 31.6 | |
| GraphSim2025.10 | 47.7 | 26.1 | |
| SimGNN2025.10 | 47.3 | 23.5 | |
| H2MN2025.10 | 43.6 | 20 | |
| GOTSim2025.10 | 35.5 | 14.7 |