Factorizable Graph Convolutional Networks

Benchmark Model Rank Results
graph-classification-on-collabFactorGCN#7Accuracy: 81.2%Accuracy (10-fold): 81.2%
graph-classification-on-imdb-bFactorGCN#21Accuracy: 75.3%Accuracy (10-fold): 75.3%
graph-classification-on-mutagFactorGCN#22Accuracy: 89.9%Accuracy (10-fold): 89.9%
graph-regression-on-zincFactorGCN#24MAE: 0.366
node-classification-on-pattern-100kFactorGCN#3Accuracy (%): 86.57 ± 0.02