Improved bounds for matroid partition and intersection algorithms
SIAM Journal on Computing
Non-separable detachments of graphs
Journal of Combinatorial Theory Series B
Highly edge-connected detachments of graphs and digraphs
Journal of Graph Theory
Combinatorial Optimization: Theory and Algorithms
Combinatorial Optimization: Theory and Algorithms
Inferring a graph from path frequency
CPM'05 Proceedings of the 16th annual conference on Combinatorial Pattern Matching
Eulerian detachments with local edge-connectivity
Discrete Applied Mathematics
An efficient algorithm for generating colored outerplanar graphs
TAMC'07 Proceedings of the 4th international conference on Theory and applications of models of computation
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Inferring a graph from path frequency has been studied as an important problem which has a potential application to drug design. Given a multiple set g of strings of labels with length at most K, the problem asks to find a vertex-labeled graph G that attains a one-to-one correspondence between g and the set of sequences of labels along all paths of length at most K in G. In this paper, we prove that the problem with K=1 can be formulated as a problem of finding a loopless and connected detachment, based on which an efficient algorithm for solving the problem is derived. Our algorithm also solves the problem with an additional constraint such that every vertex is required to have a specified degree.