Gene-expression forecasting on mouse gastrulation
0.4PCCGCRN-GRU
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GCRN-GRU2026.05 | 0.4 | 8.6 | 37.8 | |
| ChebNet2026.05 | 0.397 | 8.2 | 38.7 | |
| GAT2026.05 | 0.363 | 4.6 | 33.5 | |
| EvolveGCN2026.05 | 0.346 | 8.4 | 32.8 | |
| GCN2026.05 | 0.336 | 8 | 32.3 | |
| MLP2026.05 | 0.206 | 1.4 | 6.3 | |
| ROLAND (ChebConv+ GRU)Architecture=Temporal Graph Learning, Components=ChebConv + GRU2026.05 | 0.134 | 11 | 8.4 | |
| scFoundation2026.05 | 0.1 | 4 | 4.3 | |
| scGPT2026.05 | 0.084 | 1.4 | 0.6 | |
| Linear2026.05 | 0.062 | 4.1 | 0.7 |