List your company
ResearchFormerly WizWand

Graph Classification on IMDB-M (Accuracy, Avg. Rank)

0.518AccuracyG-TUNING
0.3606480.4014990.442350.483201Dec 21, 2023Apr 17, 2024Aug 13, 2024Dec 10, 2024Apr 7, 2025Aug 3, 2025Nov 30, 2025
Updated 8mo ago

Evaluation results

MethodLinks
G-TUNINGpre-training=standard2023.120.5181.1
GTOT-Tuning2023.120.51136
L2_SP2023.120.51076
Feature Map2023.120.50875.6
DELTA2023.120.50676.6
Vanilla Tuning2023.120.5026.6
StochNorm2023.120.49876
VGAE-Tuning2023.120.49276.6
G-TUNINGpre-training=none2023.120.49276.7
BSS2023.120.47354.7
HTG-GCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4521
RGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4453.4
DRGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4436.4
SimGRACELearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4424.6
CellCLATLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.443
GraphCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4396
JOAOLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4396.6
InfoGraphLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4388.2
JOAOv2Learning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4366.8
HTMLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.4327.8
ADGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.110.41910.8
Supervised2023.120.366710.1