Fig. 6: Integration of KAN into state-of-the-art models improves their predictive performances.
From: Interpretable Kolmogorov-Arnold networks for enzyme commission number prediction
In DeepEC (A) KAN layers replace MLP layers after the three parallel CNNs. In the DeepECtransformer (B), both the neural networks following the multi-headed attention module and the output layer are replaced by KAN layers. In CLEAN (C), KAN layers replace the MLP layers after the ESM-1b transformer.
