notesum.ai
Published at November 26Instance-Aware Graph Prompt Learning
cs.LG
Released Date: November 26, 2024
Authors: Jiazheng Li1, Jundong Li2, Chuxu Zhang1
Aff.: 1School of Computing, University of Connecticut; 2Department of Electrical and Computer Engineering, University of Virginia

| Tuning Strategies | Methods | BBBP | Tox21 | ToxCast | SIDER | ClinTox | BACE | HIV | MUV | Avg. |
| Supervised | GIN | 80.20±1.70 | 64.55±1.14 | 53.77±2.32 | 52.11±1.51 | 52.68±4.62 | 69.14±1.17 | 62.87±2.52 | 49.17±5.92 | 60.56 |
| GCN | 83.97±0.86 | 64.65±0.73 | 51.35±1.43 | 48.54±0.75 | 59.22±2.64 | 71.91±1.74 | 59.91±1.06 | 50.85±4.02 | 61.3 | |
| GraphSAGE | 80.72±1.37 | 63.91±1.08 | 52.09±0.43 | 49.14±1.19 | 59.57±2.40 | 71.33±0.97 | 61.06±1.34 | 53.08±5.38 | 61.36 | |
| Pre-training+ Fine-tuning | Linear Probing | 79.67±1.31 | 69.99±0.27 | 61.74±0.48 | 52.61±0.39 | 70.33±3.76 | 76.17±0.77 | 65.04±1.49 | 59.12±1.33 | 66.83 |
| Fine Tuning | 88.30±3.09 | 69.25±0.73 | 60.42±0.55 | 52.32±0.10 | 72.09±2.74 | 74.97±0.62 | 64.12±0.90 | 54.17±2.11 | 66.95 | |
| All in One | 49.49±5.32 | 52.45±2.23 | 50.33±5.05 | 51.24±2.06 | 57.65±11.11 | 53.22±7.14 | 46.31±7.50 | - | 51.52 | |
| GPF | 82.86±1.98 | 69.56±2.50 | 61.11±0.43 | 52.24±0.16 | 73.31±4.08 | 76.54±1.76 | 63.21±0.53 | 59.14±1.02 | 67.24 | |
| Prompt Learning | GPF-plus | 83.08±1.57 | 71.31±0.80 | 60.85±1.69 | 52.44±0.83 | 73.85±2.15 | 76.02±0.99 | 64.49±1.19 | 59.93±0.83 | 67.74 |
| IA-GPL | 85.62±0.52 | 72.55±0.40 | 61.63±0.40 | 52.85±0.84 | 74.50±0.76 | 76.64±0.83 | 64.60±0.95 | 59.32±1.13 | 68.46 |