DMMay 1

Efficient Reconstruction of Arboreal Networks

arXiv:2605.0104435.4h-index: 3
Predicted impact top 62% in DM · last 90 daysOriginality Incremental advance
AI Analysis

For phylogenetic network reconstruction, this work offers a novel method for a specific class of multi-rooted networks, though the problem is niche and the approach is incremental.

The paper provides an encoding of stack-free arboreal networks using triplets and duets, enabling polynomial-time reconstruction from complete triplet and duet systems, with correctness proven and a natural metric introduced.

Arboreal networks are multi-rooted phylogenetic networks whose underlying graph is a tree. We give an encoding of stack-free arboreal networks in terms of triplets and the novel concept of a duet. This yields a polynomial time algorithm to construct these networks from complete triplet and duet systems. The classification results show correctness and lead to a natural metric on these multi-rooted networks.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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