Artikel,

A polyhedral study of lifted multicuts

, , , und .
Discrete Optimization, (2022)
DOI: 10.1016/j.disopt.2022.100757

Zusammenfassung

Fundamental to many applications in data analysis are the decompositions of a graph, i.e. partitions of the node set into component-inducing subsets. One way of encoding decompositions is by multicuts, the subsets of those edges that straddle distinct components. Recently, a lifting of multicuts from a graph $G = (V, E)$ to an augmented graph $G = (V, E F)$ has been proposed in the field of image analysis, with the goal of obtaining a more expressive characterization of graph decompositions in which it is made explicit also for pairs $F \tbinom\V\\2\ E$ of non-neighboring nodes whether these are in the same or distinct components. In this work, we study in detail the polytope in $\mathbb\R\^\E F\$ whose vertices are precisely the characteristic vectors of multicuts of $G$ lifted from $G$, connecting it, in particular, to the rich body of prior work on the clique partitioning and multilinear polytope.

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