AML Node Classification on Synthetic AML HI-Large
71.14Average F1 ScoreCE-FedGNN-PNA
Evaluation Results
| Method | Links | |
|---|---|---|
| CE-FedGNN-PNABackbone=PNA, Federated Learning Strategy=CE-FedGNN2026.05 | 71.14 | |
| CE-FedGNN-GINBackbone=GIN, Federated Learning Strategy=CE-FedGNN2026.05 | 64.61 | |
| Swift-GINBackbone=GIN, Federated Learning Strategy=Swift2026.05 | 63.39 | |
| FedAvg-GINBackbone=GIN, Federated Learning Strategy=FedAvg2026.05 | 62.35 | |
| Swift-PNABackbone=PNA, Federated Learning Strategy=Swift2026.05 | 61.44 | |
| FedGCN-PNABackbone=PNA, Federated Learning Strategy=FedGCN2026.05 | 60.28 | |
| FedAvg-PNABackbone=PNA, Federated Learning Strategy=FedAvg2026.05 | 59.58 | |
| FedGCN-GINBackbone=GIN, Federated Learning Strategy=FedGCN2026.05 | 58.17 | |
| SC-PNABackbone=PNA, Federated Learning Strategy=SC2026.05 | 57.44 | |
| FedGNN-GIN-STBackbone=GIN, Federated Learning Strategy=FedGNN-ST2026.05 | 52.1 | |
| FedGNN-PNA-STBackbone=PNA, Federated Learning Strategy=FedGNN-ST2026.05 | 48.44 | |
| SC-GINBackbone=GIN, Federated Learning Strategy=SC2026.05 | 34.59 |