Node Classification on Pokec-n
0.44Delta SPADPrompt
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ADPromptPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 0.44 | — | — | — | 1.9 | 73.62 | |
| Self-proPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 0.47 | — | — | — | 1.93 | 73.54 | |
| ADPromptPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 0.58 | — | — | — | 1.27 | 76.05 | |
| FPromptPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 0.58 | — | — | — | 4.89 | 71.93 | |
| Adv. learningPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 0.79 | — | — | — | 3.64 | 69.5 | |
| CAFEOSP=true2025.11 | 1.19 | 63.56 | 67.91 | 61.38 | 2.65 | — | |
| FairGBEOSP=true2025.11 | 1.4 | 67.14 | 71.05 | 60.65 | 4.15 | — | |
| ADPromptPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.44 | — | — | — | 0.22 | 69.89 | |
| GCNEOSP=true2025.11 | 1.45 | 66.3 | 70.26 | 62.76 | 2.15 | — | |
| Self-proPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.51 | — | — | — | 5.27 | 71.78 | |
| SAGEEOSP=true2025.11 | 1.55 | 67.04 | 71.86 | 60.47 | 3.03 | — | |
| SAGEEOSP=false2025.11 | 1.56 | 64.36 | 69.44 | 60.5 | 2.24 | — | |
| Cls. onlyPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.56 | — | — | — | 3.96 | 70.22 | |
| FPromptPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.59 | — | — | — | 3.05 | 71.19 | |
| CAFEOSP=false2025.11 | 1.64 | 62.43 | 65.76 | 61.46 | 1.78 | — | |
| GPFPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.71 | — | — | — | 2.24 | 68.94 | |
| GPF+Pre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.77 | — | — | — | 2.13 | 69.63 | |
| GPF+Pre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.77 | — | — | — | 1.24 | 70.98 | |
| ADPromptPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.77 | — | — | — | 0.92 | 75.63 | |
| GPF+Pre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.81 | — | — | — | 2.27 | 69.42 | |
| FPromptPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.82 | — | — | — | 3.03 | 68.83 | |
| GCNEOSP=false2025.11 | 1.85 | 64.65 | 69.21 | 61.46 | 2.37 | — | |
| GPFPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.89 | — | — | — | 2.8 | 69.03 | |
| GPFPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 1.95 | — | — | — | 2.24 | 70.09 | |
| Cls. onlyPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.08 | — | — | — | 2.4 | 70.63 | |
| GPFPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.1 | — | — | — | 4.13 | 69.44 | |
| FairGBEOSP=false2025.11 | 2.13 | 65.08 | 70.11 | 61.15 | 2.76 | — | |
| GraphPromptPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.15 | — | — | — | 0.65 | 73.94 | |
| GPF+Pre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.17 | — | — | — | 1.28 | 72.85 | |
| FPromptPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.29 | — | — | — | 0.54 | 72.55 | |
| Adv. learningPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.39 | — | — | — | 1.77 | 69.87 | |
| GraphPromptPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.42 | — | — | — | 1.51 | 73.63 | |
| Self-proPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.54 | — | — | — | 0.29 | 66.89 | |
| Adv. learningPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 2.67 | — | — | — | 0.98 | 71.68 | |
| FairGNNEOSP=true2025.11 | 2.9 | 68.45 | 73.19 | 64.87 | 3.24 | — | |
| FairVGNNEOSP=true2025.11 | 3.03 | 66.09 | 69.71 | 59.89 | 4.08 | — | |
| Adv. learningPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 3.12 | — | — | — | 0.35 | 70.41 | |
| Self-proPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 3.16 | — | — | — | 0.96 | 70.4 | |
| DAB-GCNEOSP=false2025.11 | 3.54 | 62.03 | 66.85 | 60.64 | 4.15 | — | |
| DAB-GCNEOSP=true2025.11 | 3.68 | 62.47 | 67.09 | 59.97 | 4.02 | — | |
| ClassifierPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 3.84 | — | — | — | 2.1 | 70.42 | |
| FairGNNEOSP=false2025.11 | 4.18 | 68.34 | 72.84 | 63.98 | 5.1 | — | |
| FairVGNNEOSP=false2025.11 | 4.23 | 66.38 | 70.17 | 58.91 | 5.44 | — | |
| Cls. onlyPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 4.43 | — | — | — | 2.22 | 70.09 | |
| GraphPromptPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 4.56 | — | — | — | 2.15 | 73.92 | |
| GraphPromptPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 6.5 | — | — | — | 4.45 | 64.61 |