scKAN uses Kolmogorov-Arnold networks in a one-vs-rest regression and treats model gradients as signed gene regulation strengths, outperforming baselines on several BEELINE benchmark tasks.
In: Proceedings of the 2012 SIAM International Conference on Data Mining
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Kolmogorov-Arnold Network for Gene Regulatory Network Inference
scKAN uses Kolmogorov-Arnold networks in a one-vs-rest regression and treats model gradients as signed gene regulation strengths, outperforming baselines on several BEELINE benchmark tasks.