PhylaFlow applies hybrid flow matching in BHV tree space to learn posterior-basin transport, reducing initial Tree-KL and improving topology recovery after finite-budget MrBayes refinement on most of eight phylogenetic benchmarks.
Pure transformers are powerful graph learners
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Benchmark study of ten GNN explainers on eight architectures and six datasets that isolates usable components and issues practical recommendations.
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PhylaFlow: Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Phylogenetic Inference
PhylaFlow applies hybrid flow matching in BHV tree space to learn posterior-basin transport, reducing initial Tree-KL and improving topology recovery after finite-budget MrBayes refinement on most of eight phylogenetic benchmarks.
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Explaining the Explainers in Graph Neural Networks: a Comparative Study
Benchmark study of ten GNN explainers on eight architectures and six datasets that isolates usable components and issues practical recommendations.