Graph neural network foundations enable inference in population genetics

This reasoning chain explains how foundational advances in graph neural networks (GNNs), message passing paradigms, and attention mechanisms enable a wide array of inference tasks in population genetics, especially by leveraging graph-structured biological data such as tree sequences and phylogenies.

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