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ResearchFormerly WizWand

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

74.3AccuracyG-TUNING
51.52457.43763.3569.263Dec 21, 2023Apr 17, 2024Aug 13, 2024Dec 10, 2024Apr 7, 2025Aug 3, 2025Nov 30, 2025
Updated 7mo ago

Evaluation results

MethodLinks
G-TUNINGpre-training=standard2023.1274.31.1
BSS2023.1273.24.7
InfoGraphLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1073.037
Feature Map2023.1272.95.6
VGAE-Tuning2023.1272.56.6
GTOT-Tuning2023.1272.36
MGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1072.281.42
StochNorm2023.1272.26
Vanilla Tuning2023.1272.16.6
G-TUNINGpre-training=none2023.1272.16.7
AutoGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10727.14
DRGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10723.57
L2_SP2023.1271.96
RGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1071.94.71
DELTA2023.1271.86.6
simGRACELearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1071.34.14
GraphCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1071.146.42
JOAOv2Learning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1070.837.28
JOAOLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1070.217.85
AD-GCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1070.27.28
HTG-GCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1169.11
RGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1168.93.4
SimGRACELearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1168.64.6
InfoGraphLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1168.58.2
CellCLATLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1168.53
HTMLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1168.47.8
JOAOv2Learning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1168.36.8
DRGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.11686.4
GraphCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1167.86
ADGCLLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1167.710.8
JOAOLearning Protocol=Semi-supervised, Labels=10%, Evaluation=10-fold CV with SVM2025.1167.66.6
MVGRLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.1063.68.85
Supervised2023.1252.410.1