Deep learning architectures compared for diversification inference — ARCADIA Knowledge Graph

Deep learning architectures compared for diversification inference

Empirical comparisons show that deep learning models, including GNNs and other architectures, differ in their capacity to infer diversification parameters from phylogenetic trees.

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