Edge Classification on FB15K237
91.96AccuracyUniGraphLM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UniGraphLM2026.05 | 91.96 | 74 | |
| TEA-GLM2026.05 | 91.85 | 75.21 | |
| FedGALA2026.01 | 77.85 | — | |
| FedBook2026.01 | 74.33 | — | |
| FedGFM+2026.01 | 73.23 | — | |
| GQTfederated adoption of GFM=true2026.01 | 72.81 | — | |
| GraphCLIPfederated adoption of GFM=true2026.01 | 72.56 | — | |
| UniGraphfederated adoption of GFM=true2026.01 | 72.24 | — | |
| GFTfederated adoption of GFM=true2026.01 | 71.77 | — | |
| OFAfederated adoption of GFM=true2026.01 | 70.24 | — | |
| FedSage+2026.01 | 69.95 | — | |
| GraphSAGE2026.01 | 69.94 | — | |
| Fed-PUB2026.01 | 69.32 | — | |
| GAT2026.01 | 68.59 | — | |
| MOON2026.01 | 68.44 | — | |
| FedAvg2026.01 | 68.43 | — | |
| GIN2026.01 | 68.37 | — | |
| Linear2026.01 | 67.77 | — | |
| GCN2026.01 | 66.95 | — | |
| Vicuna-7B2026.05 | 56.01 | 38.46 | |
| GOFA2026.05 | 54.41 | 33.94 | |
| LLaMA-2-7B2026.05 | 20.6 | 11.3 |