Graph Classification on IMDB-M (Accuracy, Avg. Rank)
0.518AccuracyG-TUNING
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| G-TUNINGpre-training=standard2023.12 | 0.518 | 1.1 | |
| GTOT-Tuning2023.12 | 0.5113 | 6 | |
| L2_SP2023.12 | 0.5107 | 6 | |
| Feature Map2023.12 | 0.5087 | 5.6 | |
| DELTA2023.12 | 0.5067 | 6.6 | |
| Vanilla Tuning2023.12 | 0.502 | 6.6 | |
| StochNorm2023.12 | 0.4987 | 6 | |
| VGAE-Tuning2023.12 | 0.4927 | 6.6 | |
| G-TUNINGpre-training=none2023.12 | 0.4927 | 6.7 | |
| BSS2023.12 | 0.4735 | 4.7 | |
| HTG-GCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.452 | 1 | |
| RGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.445 | 3.4 | |
| DRGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.443 | 6.4 | |
| SimGRACELearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.442 | 4.6 | |
| CellCLATLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.44 | 3 | |
| GraphCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.439 | 6 | |
| JOAOLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.439 | 6.6 | |
| InfoGraphLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.438 | 8.2 | |
| JOAOv2Learning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.436 | 6.8 | |
| HTMLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.432 | 7.8 | |
| ADGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11 | 0.419 | 10.8 | |
| Supervised2023.12 | 0.3667 | 10.1 |