Universal Graph Transformer Self-Attention Networks

Benchmark Model Rank Results
graph-classification-on-collabU2GNN (Unsupervised)#1Accuracy: 95.62%
graph-classification-on-collabU2GNN#19Accuracy: 77.84%
graph-classification-on-ddU2GNN (Unsupervised)#1Accuracy: 95.67%
graph-classification-on-ddU2GNN#14Accuracy: 80.23%
graph-classification-on-imdb-bU2GNN (Unsupervised)#1Accuracy: 96.41%
graph-classification-on-imdb-bU2GNN#16Accuracy: 77.04%
graph-classification-on-imdb-mU2GNN (Unsupervised)#1Accuracy: 89.2%
graph-classification-on-imdb-mU2GNN#8Accuracy: 53.60%
graph-classification-on-mutagU2GNN#21Accuracy: 89.97%
graph-classification-on-mutagU2GNN (Unsupervised)#32Accuracy: 88.47%
graph-classification-on-proteinsU2GNN (Unsupervised)#11Accuracy: 80.01%
graph-classification-on-proteinsU2GNN#15Accuracy: 78.53%
graph-classification-on-ptcU2GNN (Unsupervised)#1Accuracy: 91.81%
graph-classification-on-ptcU2GNN#10Accuracy: 69.63%