Node Classification on MAG (Multi-directional Cross-Domain Evaluation)
40.77US→CN AccuracyTSA-T3A
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| TSA-T3ABackbone=GPRGNN2025.02 | 40.77 | 39.03 | 49.38 | 47.81 | 32.43 | 40.94 | 38.12 | 46.26 | 43.7 | 29.07 | |
| T3ABackbone=GPRGNN2025.02 | 40.58 | 39 | 48.96 | 46.13 | 32.35 | 38.92 | 38.07 | 46.23 | 42.82 | 28.65 | |
| SOGABackbone=GPRGNN2025.02 | 34.7 | 35.18 | 48.47 | 33.63 | 27.98 | 35.16 | 18.5 | 28.35 | 20.11 | 14.73 | |
| TSA-LAMEBackbone=GPRGNN2025.02 | 26.58 | 22.75 | 35.95 | 19.3 | 17.49 | 32.3 | 14.86 | 21.88 | 15.02 | 11.13 | |
| ERMBackbone=GPRGNN2025.02 | 26.26 | 27.09 | 38.9 | 22.88 | 20.69 | 27.58 | 10.77 | 17.41 | 12.49 | 9.05 | |
| HomoTTTBackbone=GPRGNN2025.02 | 26.08 | 28.12 | 39.13 | 24.16 | 21.85 | 25.5 | 9.64 | 15.95 | 11.1 | 8.08 | |
| GTransBackbone=GPRGNN2025.02 | 26.04 | 26.96 | 38.71 | 23.07 | 20.8 | 27.49 | 10.97 | 17.41 | 12.58 | 9.08 | |
| ActMADBackbone=GPRGNN2025.02 | 25.14 | 26.77 | 37.97 | 22.3 | 20.52 | 26.89 | 10.35 | 16.9 | 12.03 | 8.71 | |
| LAMEBackbone=GPRGNN2025.02 | 24.54 | 22.5 | 35.93 | 17.61 | 15.71 | 28.02 | 9.08 | 15.58 | 10.87 | 8.01 | |
| Matcha-T3ABackbone=GPRGNN2025.02 | 22.34 | 32.18 | 42.85 | 34.77 | 25.75 | 45.27 | 33.01 | 42.08 | 38.57 | 29.3 | |
| TSA-TENTBackbone=GPRGNN2025.02 | 14.51 | 25.86 | 29.47 | 18.76 | 21.48 | 16.96 | 7.89 | 14.32 | 8.35 | 6.16 | |
| Matcha-TENTBackbone=GPRGNN2025.02 | 13.9 | 25.87 | 29.3 | 18.14 | 21.03 | 16.38 | 7.62 | 13.84 | 7.85 | 5.97 | |
| TENTBackbone=GPRGNN2025.02 | 13.79 | 25.67 | 29.13 | 18 | 20.85 | 16.29 | 7.59 | 13.81 | 7.82 | 5.94 | |
| Matcha-LAMEBackbone=GPRGNN2025.02 | 8.93 | 8.18 | 15.46 | 6.25 | 6.69 | 1.35 | 17.6 | 33.42 | 18.81 | 4.23 |