Edge Classification on WN18RR
93.52AccuracyUniGraphLM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UniGraphLM2026.05 | 93.52 | 75.3 | |
| TEA-GLM2026.05 | 92.85 | 73.82 | |
| FedGALA2026.01 | 88.33 | — | |
| FedBook2026.01 | 86.21 | — | |
| FedGFM+2026.01 | 84.31 | — | |
| GQTfederated adoption of GFM=true2026.01 | 83.73 | — | |
| GraphCLIPfederated adoption of GFM=true2026.01 | 83.58 | — | |
| UniGraphfederated adoption of GFM=true2026.01 | 82.33 | — | |
| OFAfederated adoption of GFM=true2026.01 | 81.85 | — | |
| GAT2026.01 | 81.35 | — | |
| FedSage+2026.01 | 81.26 | — | |
| GFTfederated adoption of GFM=true2026.01 | 81.2 | — | |
| Fed-PUB2026.01 | 80.65 | — | |
| MOON2026.01 | 80.62 | — | |
| GraphSAGE2026.01 | 80.33 | — | |
| FedAvg2026.01 | 80.07 | — | |
| GIN2026.01 | 79.94 | — | |
| Linear2026.01 | 79.83 | — | |
| GCN2026.01 | 79.74 | — | |
| Vicuna-7B2026.05 | 34.84 | 12.14 | |
| LLaMA-2-7B2026.05 | 29.16 | 7.54 | |
| GOFA2026.05 | 21.95 | 10 |