GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks

Benchmark Model Rank Results
graph-property-prediction-on-qm9GotenNet (Large)#1Standardized MAE: 0.52logMAE: -6.41alpha (ma): 28gap (meV): 19.8
graph-property-prediction-on-qm9GotenNet (Base)#2Standardized MAE: 0.56logMAE: -6.35alpha (ma): 32gap (meV): 20.5
graph-property-prediction-on-qm9GotenNet (Small)#3Standardized MAE: 0.60logMAE: -6.29alpha (ma): 33gap (meV): 21.2