AML Node Classification on Synthetic AML HI-Small
66.23Average F1 ScoreCE-FedGNN-PNA
Evaluation Results
| Method | Links | |
|---|---|---|
| CE-FedGNN-PNABackbone=PNA, Federated Learning Strategy=CE-FedGNN2026.05 | 66.23 | |
| Swift-PNABackbone=PNA, Federated Learning Strategy=Swift2026.05 | 57.46 | |
| FedGCN-PNABackbone=PNA, Federated Learning Strategy=FedGCN2026.05 | 56.53 | |
| FedGNN-PNA-STBackbone=PNA, Federated Learning Strategy=FedGNN-ST2026.05 | 54.36 | |
| FedAvg-PNABackbone=PNA, Federated Learning Strategy=FedAvg2026.05 | 54.27 | |
| CE-FedGNN-GINBackbone=GIN, Federated Learning Strategy=CE-FedGNN2026.05 | 49.16 | |
| SC-PNABackbone=PNA, Federated Learning Strategy=SC2026.05 | 44.09 | |
| FedGCN-GINBackbone=GIN, Federated Learning Strategy=FedGCN2026.05 | 41.52 | |
| FedAvg-GINBackbone=GIN, Federated Learning Strategy=FedAvg2026.05 | 41.03 | |
| Swift-GINBackbone=GIN, Federated Learning Strategy=Swift2026.05 | 38.73 | |
| FedGNN-GIN-STBackbone=GIN, Federated Learning Strategy=FedGNN-ST2026.05 | 29.4 | |
| SC-GINBackbone=GIN, Federated Learning Strategy=SC2026.05 | 15.26 |