AML Node Classification on Synthetic AML LI-Medium
0.2918Avg F1 ScoreCE-FedGNN-PNA
Evaluation Results
| Method | Links | |
|---|---|---|
| CE-FedGNN-PNABackbone=PNA, Federated Learning Strategy=CE-FedGNN2026.05 | 0.2918 | |
| FedAvg-PNABackbone=PNA, Federated Learning Strategy=FedAvg2026.05 | 0.2614 | |
| SC-PNABackbone=PNA, Federated Learning Strategy=SC2026.05 | 0.2472 | |
| Swift-PNABackbone=PNA, Federated Learning Strategy=Swift2026.05 | 0.2001 | |
| FedGCN-PNABackbone=PNA, Federated Learning Strategy=FedGCN2026.05 | 0.1821 | |
| FedGNN-PNA-STBackbone=PNA, Federated Learning Strategy=FedGNN-ST2026.05 | 0.1129 | |
| CE-FedGNN-GINBackbone=GIN, Federated Learning Strategy=CE-FedGNN2026.05 | 0.0828 | |
| SC-GINBackbone=GIN, Federated Learning Strategy=SC2026.05 | 0.0746 | |
| FedGNN-GIN-STBackbone=GIN, Federated Learning Strategy=FedGNN-ST2026.05 | 0.0705 | |
| FedGCN-GINBackbone=GIN, Federated Learning Strategy=FedGCN2026.05 | 0.0647 | |
| FedAvg-GINBackbone=GIN, Federated Learning Strategy=FedAvg2026.05 | 0.0068 | |
| Swift-GINBackbone=GIN, Federated Learning Strategy=Swift2026.05 | 0.0061 |