AML Node Classification on Synthetic AML HI-Medium
65.17Average F1CE-FedGNN-PNA
Evaluation Results
| Method | Links | |
|---|---|---|
| CE-FedGNN-PNABackbone=PNA, Federated Learning Strategy=CE-FedGNN2026.05 | 65.17 | |
| FedGCN-PNABackbone=PNA, Federated Learning Strategy=FedGCN2026.05 | 62.92 | |
| CE-FedGNN-GINBackbone=GIN, Federated Learning Strategy=CE-FedGNN2026.05 | 60.24 | |
| Swift-PNABackbone=PNA, Federated Learning Strategy=Swift2026.05 | 57.22 | |
| Swift-GINBackbone=GIN, Federated Learning Strategy=Swift2026.05 | 56.89 | |
| FedGNN-GIN-STBackbone=GIN, Federated Learning Strategy=FedGNN-ST2026.05 | 56.12 | |
| FedGCN-GINBackbone=GIN, Federated Learning Strategy=FedGCN2026.05 | 55.38 | |
| FedAvg-GINBackbone=GIN, Federated Learning Strategy=FedAvg2026.05 | 54.21 | |
| FedGNN-PNA-STBackbone=PNA, Federated Learning Strategy=FedGNN-ST2026.05 | 53.82 | |
| SC-PNABackbone=PNA, Federated Learning Strategy=SC2026.05 | 53.05 | |
| FedAvg-PNABackbone=PNA, Federated Learning Strategy=FedAvg2026.05 | 50.37 | |
| SC-GINBackbone=GIN, Federated Learning Strategy=SC2026.05 | 35.72 |