Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns

Benchmark Model Rank Results
graph-classification-on-bbbpG-Tuning#1ROC-AUC: 72.59
graph-classification-on-enzymesG-Tuning#48Accuracy (10-fold): 26.70
graph-classification-on-hivG-Tuning#3ROC-AUC: 77.33
graph-classification-on-imdb-bG-Tuning#45Accuracy (10-fold): 74.30
graph-classification-on-imdb-mG-Tuning#33Accuracy (10-fold): 51.80
graph-classification-on-mutagG-Tuning#65Accuracy (10 fold): 86.14
graph-classification-on-proteinsG-Tuning#82Accuracy (10 fold): 72.05
graph-classification-on-tox21G-Tuning#2ROC-AUC: 75.80
graph-classification-on-toxcastG-Tuning#2ROC-AUC: 64.25