Image Classification on Corel5k
98.52AccuracyMulti-Feature Aggregation for GNNs
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Multi-Feature Aggregation for GNNsFeatures=VIT-B16, Graph=SWIN-TF, M.L.=RDPAC2026.06 | 98.52 | 0.52 | 6 | 1.2836 | |
| SGC (SWIN-TF)Feature=SWIN-TF, M.L.=No Manifold Learning2026.06 | 98.01 | — | — | — |