Transductive Dynamic Link Prediction on MOOC (rnd sampling)
99.25APDSRD
Evaluation results
| Method | Links | |
|---|---|---|
| DSRD2026.05 | 99.25 | |
| TPNet2026.03 | 96.39 | |
| TPNet+Backbone=TPNet, Graph2Video=true2026.03 | 96.38 | |
| TPNet2026.05 | 92.66 | |
| TGN2026.03 | 89.15 | |
| TGN2026.05 | 88.62 | |
| PINT2026.05 | 88.4 | |
| DyGFormer2026.03 | 87.52 | |
| DyGFormer+Backbone=DyGFormer, Graph2Video=true2026.03 | 87.33 | |
| NAT2026.05 | 86.04 | |
| GraphMixer2026.03 | 82.78 | |
| TCL2026.03 | 82.38 | |
| JODIE2026.05 | 82.36 | |
| GraphMixer2026.05 | 81.35 | |
| TGAT2026.05 | 80.23 | |
| CAWN2026.03 | 80.15 | |
| DyRep2026.05 | 79.97 | |
| DyGFormer2026.05 | 79.66 | |
| TCL2026.05 | 79.09 | |
| CAWN2026.05 | 76.1 | |
| EdgeBank2026.05 | 59.35 |