Geometric deep learning on graphs and manifolds using mixture model CNNs

Benchmark Model Rank Results
graph-classification-on-cifar10-100kMoNet#18Accuracy (%): 53.42
graph-regression-on-zinc-100kMoNet#7MAE: 0.407
graph-regression-on-zinc-500kMoNet#30MAE: 0.292
node-classification-on-pattern-100kMoNet#6Accuracy (%): 85.482
superpixel-image-classification-on-75Monet#5Classification Error: 8.89