Benchmarking Graph Neural Networks

Benchmark Model Rank Results
graph-classification-on-cifar10-100kGatedGCN#15Accuracy (%): 67.312
graph-classification-on-mnistGatedGCN#12Accuracy: 97.340
graph-regression-on-zinc-100kGatedGCN#6MAE: 0.363
graph-regression-on-zinc-500kGatedGCN-PE#26MAE: 0.214
graph-regression-on-zinc-500kGatedGCN-E-PE#27MAE: 0.214
link-prediction-on-tsp-hcp-benchmark-setGatedGCN-E#4F1: 0.838
node-classification-on-clusterGatedGCN-PE#11Accuracy: 76.08
node-classification-on-patternGatedGCN#10Accuracy: 86.508