338,115 research outputs found
Efficient edge domination in regular graphs
An induced matching of a graph G is a matching having no two edges joined by an edge. An efficient edge dominating set
of G is an induced matching M such that every other edge of G is adjacent to some edge in M. We relate maximum induced
matchings and efficient edge dominating sets, showing that efficient edge dominating sets are maximum induced matchings, and
that maximum induced matchings on regular graphs with efficient edge dominating sets are efficient edge dominating sets. A
necessary condition for the existence of efficient edge dominating sets in terms of spectra of graphs is established. We also prove
that, for arbitrary fixed p 3, deciding on the existence of efficient edge dominating sets on p-regular graphs is NP-complet
Computing the partition function for graph homomorphisms
We introduce the partition function of edge-colored graph homomorphisms, of
which the usual partition function of graph homomorphisms is a specialization,
and present an efficient algorithm to approximate it in a certain domain.
Corollaries include efficient algorithms for computing weighted sums
approximating the number of k-colorings and the number of independent sets in a
graph, as well as an efficient procedure to distinguish pairs of edge-colored
graphs with many color-preserving homomorphisms G --> H from pairs of graphs
that need to be substantially modified to acquire a color-preserving
homomorphism G --> H.Comment: constants are improved, following a suggestion by B. Buk
Efficient Enumeration Algorithm for Dominating Sets in Bounded Degenerate Graphs (Foundations and Applications of Algorithms and Computation)
Dominating sets are fundamental graph structures. However, enumeration of dominating sets has not received much attention. This study aims to propose an efficient enumeration algorithms for bounded degenerate graphs. The algorithm enumerates all the dominating sets for k-degenerate graphs in O(k) time per solution using O(n+m) space. Since planar graphs have a constant degeneracy, this algorithm can enumerate all such sets for planar graphs in constant time per solution
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
We present a graphical criterion for covariate adjustment that is sound and
complete for four different classes of causal graphical models: directed
acyclic graphs (DAGs), maximum ancestral graphs (MAGs), completed partially
directed acyclic graphs (CPDAGs), and partial ancestral graphs (PAGs). Our
criterion unifies covariate adjustment for a large set of graph classes.
Moreover, we define an explicit set that satisfies our criterion, if there is
any set that satisfies our criterion. We also give efficient algorithms for
constructing all sets that fulfill our criterion, implemented in the R package
dagitty. Finally, we discuss the relationship between our criterion and other
criteria for adjustment, and we provide new soundness and completeness proofs
for the adjustment criterion for DAGs.Comment: 58 pages, 12 figures, to appear in JML
Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination
Recently, great efforts have been dedicated to researches on the management
of large scale graph based data such as WWW, social networks, biological
networks. In the study of graph based data management, node disjoint subgraph
homeomorphism relation between graphs is more suitable than (sub)graph
isomorphism in many cases, especially in those cases that node skipping and
node mismatching are allowed. However, no efficient node disjoint subgraph
homeomorphism determination (ndSHD) algorithms have been available. In this
paper, we propose two computationally efficient ndSHD algorithms based on state
spaces searching with backtracking, which employ many heuristics to prune the
search spaces. Experimental results on synthetic data sets show that the
proposed algorithms are efficient, require relative little time in most of the
testing cases, can scale to large or dense graphs, and can accommodate to more
complex fuzzy matching cases.Comment: 15 pages, 11 figures, submitted to DASFAA 200
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