A Generalization of ViT/MLP-Mixer to Graphs

Benchmark Model Rank Results
graph-classification-on-peptides-funcGraph ViT#16AP: 0.6942±0.0075
graph-classification-on-peptides-funcGraphMLPMixer#17AP: 0.6921±0.0054
graph-regression-on-peptides-structGraph ViT#6MAE: 0.2449±0.0016
graph-regression-on-peptides-structGraphMLPMixer#14MAE: 0.2475±0.0015
graph-regression-on-zincGraphMLPMixer#13MAE: 0.075 ± 0.001