Node Classification on Ele-fashion
88.42AccuracyNSG-MoE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NSG-MoEPre-trained encoder=ImageBind2026.01 | 88.42 | — | |
| MMGATPre-trained encoder=ImageBind2026.01 | 87.86 | — | |
| NSG-MoEPre-trained encoder=CLIP2026.01 | 87.4 | — | |
| MMGCNPre-trained encoder=ImageBind2026.01 | 87.21 | — | |
| Unigraph2Pre-trained encoder=ImageBind2026.01 | 86.75 | — | |
| GATPre-trained encoder=ImageBind2026.01 | 86.29 | — | |
| MMGATPre-trained encoder=CLIP2026.01 | 86.18 | — | |
| MMGCNPre-trained encoder=CLIP2026.01 | 86.08 | — | |
| Unigraph2Pre-trained encoder=CLIP2026.01 | 86.01 | — | |
| GCNPre-trained encoder=ImageBind2026.01 | 85.94 | — | |
| SAGEPre-trained encoder=ImageBind2026.01 | 85.74 | — | |
| FedMPO2026.05 | 85.67 | 74.82 | |
| SAGEPre-trained encoder=CLIP2026.01 | 85.25 | — | |
| GCNPre-trained encoder=CLIP2026.01 | 85.18 | — | |
| GATPre-trained encoder=CLIP2026.01 | 85.05 | — | |
| FedPub2026.05 | 84.73 | 72.81 | |
| FedGCN2026.05 | 81.96 | 68.44 | |
| FedMAC2026.05 | 81.28 | 71.14 | |
| FedMVP2026.05 | 77.42 | 70.57 | |
| FedLAP2026.05 | 77.29 | 70.18 | |
| FedSPA2026.05 | 75.25 | 70.82 | |
| FedIIH2026.05 | 75.15 | 70.61 | |
| S2FGL2026.05 | 74.89 | 69.73 | |
| FedAvg-Zero2026.05 | 73.92 | 65.73 | |
| FedProto2026.05 | 73.61 | 69.38 | |
| FedGraphSAGE2026.05 | 73.16 | 67.41 |