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LSTM-attention-guided graph neural networks for integrated genotype–Environment modeling in maize yield prediction

Table 3

Comparison of proposed architectures with top models from the Global G×E Prediction Competition using the same forward-time split (2014–2021 train, 2022 test).

Table 3

doi: https://doi.org/10.1371/journal.pcbi.1013729.t003