Accurate Learning of Graph Representations with Graph Multiset Pooling

Benchmark Model Rank Results
graph-classification-on-bbbpGMT#3ROC-AUC: 68.31
graph-classification-on-collabGMT#8Accuracy: 80.74%
graph-classification-on-ddGMT#23Accuracy: 78.72%
graph-classification-on-hivGMT#2ROC-AUC: 77.56
graph-classification-on-hiv-datasetGMT#3ROC-AUC: 77.56
graph-classification-on-imdb-bGMT#28Accuracy: 73.48%
graph-classification-on-imdb-mGMT#18Accuracy: 50.66%
graph-classification-on-mutagGMT#58Accuracy: 83.44%
graph-classification-on-proteinsGMT#60Accuracy: 75.09%
graph-classification-on-tox21GMT#1ROC-AUC: 77.3
graph-classification-on-toxcastGMT#1ROC-AUC: 65.44