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. 2023 Feb 26;15:29. doi: 10.1186/s13321-023-00698-9

Table 3.

Bayesian Optimization for Hyperparameters in ABT-MPNN

Hyperparameters Values
Message-passing iteration (T) 2, 3, 4, 5, 6
Inter-atomic feature scaler (λ) [0, 0.5] (Interval: 0.05)
Hidden dimension (d) [300, 2400] (Interval: 100)
Dropout probability (p) [0, 0.4] (Interval: 0.05)