AML Node Classification on Synthetic AML LI-Large
31.58Average F1 ScoreCE-FedGNN-PNA
Evaluation Results
| Method | Links | |
|---|---|---|
| CE-FedGNN-PNABackbone=PNA, Federated Learning Strategy=CE-FedGNN2026.05 | 31.58 | |
| CE-FedGNN-GINBackbone=GIN, Federated Learning Strategy=CE-FedGNN2026.05 | 19.17 | |
| Swift-GINBackbone=GIN, Federated Learning Strategy=Swift2026.05 | 12.94 | |
| SC-PNABackbone=PNA, Federated Learning Strategy=SC2026.05 | 12.62 | |
| SC-GINBackbone=GIN, Federated Learning Strategy=SC2026.05 | 2.27 | |
| FedAvg-GINBackbone=GIN, Federated Learning Strategy=FedAvg2026.05 | 0 | |
| FedGCN-GINBackbone=GIN, Federated Learning Strategy=FedGCN2026.05 | 0 | |
| FedGNN-GIN-STBackbone=GIN, Federated Learning Strategy=FedGNN-ST2026.05 | 0 | |
| FedAvg-PNABackbone=PNA, Federated Learning Strategy=FedAvg2026.05 | 0 | |
| Swift-PNABackbone=PNA, Federated Learning Strategy=Swift2026.05 | 0 | |
| FedGCN-PNABackbone=PNA, Federated Learning Strategy=FedGCN2026.05 | 0 | |
| FedGNN-PNA-STBackbone=PNA, Federated Learning Strategy=FedGNN-ST2026.05 | 0 |