Phylogenetic Tree

Phylogenetic trees visually represent the evolutionary relationships between entities, aiming to reconstruct their historical branching patterns. Current research focuses on improving the efficiency and accuracy of tree inference, employing advanced methods like variational Bayesian inference, diffusion models conditioned on phylogenetic knowledge, and graph neural networks to handle large datasets and complex tree structures. These advancements are impacting diverse fields, from evolutionary biology and cancer research (analyzing tumor evolution) to linguistics (reconstructing language families) and even computer science (analyzing the relationships between large language models), enabling more robust and insightful analyses of complex evolutionary processes.