Node Classification on Pokec_n (10-shot)
74.65AccuracyGPF+
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GPF+Pre-training strategy=GAE2025.10 | 74.65 | 1.89 | 2.93 | |
| GPF+Pre-training strategy=GraphCL2025.10 | 73.56 | 3.66 | 1.74 | |
| ADPromptPre-training strategy=InfoMax2025.10 | 71.84 | 0.92 | 1.38 | |
| Adv. learningPre-training strategy=InfoMax2025.10 | 71.68 | 0.98 | 2.67 | |
| Self-proPre-training strategy=InfoMax2025.10 | 71.6 | 2.04 | 4.97 | |
| FPromptPre-training strategy=InfoMax2025.10 | 71.55 | 3.69 | 2.45 | |
| FPromptPre-training strategy=GraphCL2025.10 | 71.07 | 2.87 | 2.21 | |
| ADPromptPre-training strategy=GraphCL2025.10 | 70.97 | 1.62 | 0.83 | |
| Self-proPre-training strategy=GraphCL2025.10 | 70.85 | 6.99 | 6.8 | |
| ADPromptPre-training strategy=GAE2025.10 | 70.64 | 0.93 | 0.71 | |
| Cls. onlyPre-training strategy=GAE2025.10 | 70.63 | 2.4 | 2.08 | |
| ADPromptPre-training strategy=BGRL2025.10 | 70.52 | 1.71 | 0.88 | |
| Cls. onlyPre-training strategy=GraphCL2025.10 | 70.42 | 2.1 | 3.84 | |
| Adv. learningPre-training strategy=GraphCL2025.10 | 70.41 | — | 3.12 | |
| Cls. onlyPre-training strategy=InfoMax2025.10 | 70.22 | 3.96 | 1.56 | |
| Cls. onlyPre-training strategy=BGRL2025.10 | 70.09 | 2.22 | 4.43 | |
| GraphPromptPre-training strategy=GAE2025.10 | 69.75 | 5.76 | 1.78 | |
| Adv. learningPre-training strategy=GAE2025.10 | 69.5 | 3.64 | 0.79 | |
| GPFPre-training strategy=GraphCL2025.10 | 69.29 | 6.57 | 6.44 | |
| Self-proPre-training strategy=BGRL2025.10 | 69.18 | 4.77 | 4.23 | |
| GraphPromptPre-training strategy=BGRL2025.10 | 69.12 | 3.45 | 2.75 | |
| FPromptPre-training strategy=BGRL2025.10 | 69.05 | 1.08 | 1.33 | |
| Adv. learningPre-training strategy=BGRL2025.10 | 68.87 | 1.77 | 2.39 | |
| GPFPre-training strategy=InfoMax2025.10 | 68.6 | 2.83 | 1.46 | |
| GraphPromptPre-training strategy=InfoMax2025.10 | 68.56 | 4.75 | 2.67 | |
| GPF+Pre-training strategy=BGRL2025.10 | 68.52 | 3.49 | 2.03 | |
| GPFPre-training strategy=BGRL2025.10 | 67.65 | 3.62 | 1.79 | |
| FPromptPre-training strategy=GAE2025.10 | 66.75 | 1.44 | 2.6 | |
| GPFPre-training strategy=GAE2025.10 | 66.41 | 1.33 | 1.32 | |
| GPF+Pre-training strategy=InfoMax2025.10 | 64.27 | 2.83 | 1.59 | |
| GraphPromptPre-training strategy=GraphCL2025.10 | 64.22 | 11.27 | 9.11 | |
| Self-proPre-training strategy=GAE2025.10 | 64.03 | 2.53 | 4.58 |