The Maximum Colorful Arborescence problem parameterized by the structure of its color hierarchy graph
Guillaume Fertin, Julien Fradin, Christian Komusiewicz

TL;DR
This paper investigates the Maximum Colorful Arborescence problem in DAGs with a focus on the structure of the color hierarchy graph, providing new algorithms and complexity results based on structural parameters.
Contribution
The paper introduces an improved fixed-parameter algorithm for MCA based on the number of high indegree vertices in the color hierarchy graph and analyzes its complexity relative to graph parameters.
Findings
Developed an O*(3^{nhs}) algorithm for MCA.
Proved MCA is W[2]-hard with respect to the treewidth of H.
Showed MCA is fixed-parameter tractable relative to Ht+lc.
Abstract
Let G=(V,A) be a vertex-colored arc-weighted directed acyclic graph (DAG) rooted in some vertex r, and let H be its color hierarchy graph, defined as follows: V(H) is the color set C of G, and an arc from color c to color c' exists in H if there is an arc in G from a vertex of color c to a vertex of color c'. In this paper, we study the MAXIMUM COLORFUL ARBORESCENCE problem (or MCA), which takes as input a DAG G with the additional constraint that H is also a DAG, and aims at finding in G an arborescence rooted in r, of maximum weight, and in which no color appears more than once. The MCA problem is motivated by the inference of unknown metabolites from mass spectrometry experiments. However, whereas the problem has been studied for roughly ten years, the crucial property that H is necessarily a DAG has only been pointed out and exploited very recently. In this paper, we further…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Labeling and Dimension Problems · Advanced Graph Theory Research · graph theory and CDMA systems
