Graph Retrieval on MM (test)
90.2MAPIsoNet++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IsoNet++Aggregation strategy=multi-round, Graph representation level=Edge2025.10 | 90.2 | 80.9 | |
| IsoNet++Aggregation strategy=multi-layer, Graph representation level=Edge2025.10 | 86.2 | 74.3 | |
| IsoNet++Aggregation strategy=multi-round, Graph representation level=Node2025.10 | 83.8 | 70.2 | |
| multi-round IsoNet++ (Edge)Training Dataset=AIDS2025.10 | 83.3 | — | |
| IsoNet++Aggregation strategy=multi-layer, Graph representation level=Node2025.10 | 82.7 | 68 | |
| IsoNetGraph representation level=Edge2025.10 | 75.3 | 57.1 | |
| IsoNetGraph representation level=Node2025.10 | 70.8 | 49.3 | |
| GMN2025.10 | 65.5 | 42.3 | |
| multi-round IsoNet++ (Node)Training Dataset=Mutag2025.10 | 65.2 | — | |
| EGSC2025.10 | 58.6 | 34.8 | |
| GREED2025.10 | 54.6 | 31.1 | |
| GEN2025.10 | 53.9 | 29.2 | |
| Neuromatch2025.10 | 51.9 | 28.2 | |
| GraphSim2025.10 | 41.5 | 21.2 | |
| GOTSim2025.10 | 32.3 | 11.9 | |
| H2MN2025.10 | 31.2 | 11.9 | |
| SimGNN2025.10 | 29.8 | 11.1 |