Advances in phylogenetic-informed graph deep learning for dynamic evolutionary inference

This reasoning chain synthesizes how the application of graph deep learning—especially with direct phylogenetic structure—enables parameter inference for diversification, ancestral state, and epidemic transmission dynamics, integrating evidence from comparisons of deep learning architectures and likelihood-based frameworks.

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