Induced Subgraph Isomorphism on Interval and Proper Interval Graphs

Author(s):  
Pinar Heggernes ◽  
Daniel Meister ◽  
Yngve Villanger
1999 ◽  
Vol Vol. 3 no. 4 ◽  
Author(s):  
Andrzej Proskurowski ◽  
Jan Arne Telle

International audience We introduce q-proper interval graphs as interval graphs with interval models in which no interval is properly contained in more than q other intervals, and also provide a forbidden induced subgraph characterization of this class of graphs. We initiate a graph-theoretic study of subgraphs of q-proper interval graphs with maximum clique size k+1 and give an equivalent characterization of these graphs by restricted path-decomposition. By allowing the parameter q to vary from 0 to k, we obtain a nested hierarchy of graph families, from graphs of bandwidth at most k to graphs of pathwidth at most k. Allowing both parameters to vary, we have an infinite lattice of graph classes ordered by containment.


Algorithmica ◽  
2021 ◽  
Author(s):  
Jan Kratochvíl ◽  
Tomáš Masařík ◽  
Jana Novotná

AbstractInterval graphs, intersection graphs of segments on a real line (intervals), play a key role in the study of algorithms and special structural properties. Unit interval graphs, their proper subclass, where each interval has a unit length, has also been extensively studied. We study mixed unit interval graphs—a generalization of unit interval graphs where each interval has still a unit length, but intervals of more than one type (open, closed, semi-closed) are allowed. This small modification captures a richer class of graphs. In particular, mixed unit interval graphs may contain a claw as an induced subgraph, as opposed to unit interval graphs. Heggernes, Meister, and Papadopoulos defined a representation of unit interval graphs called the bubble model which turned out to be useful in algorithm design. We extend this model to the class of mixed unit interval graphs and demonstrate the advantages of this generalized model by providing a subexponential-time algorithm for solving the MaxCut problem on mixed unit interval graphs. In addition, we derive a polynomial-time algorithm for certain subclasses of mixed unit interval graphs. We point out a substantial mistake in the proof of the polynomiality of the MaxCut problem on unit interval graphs by Boyacı et al. (Inf Process Lett 121:29–33, 2017. 10.1016/j.ipl.2017.01.007). Hence, the time complexity of this problem on unit interval graphs remains open. We further provide a better algorithmic upper-bound on the clique-width of mixed unit interval graphs.


2017 ◽  
Vol 697 ◽  
pp. 69-78 ◽  
Author(s):  
Faisal N. Abu-Khzam ◽  
Édouard Bonnet ◽  
Florian Sikora

2015 ◽  
Vol 562 ◽  
pp. 252-269 ◽  
Author(s):  
Pinar Heggernes ◽  
Pim van 't Hof ◽  
Daniel Meister ◽  
Yngve Villanger

2020 ◽  
Vol 34 (03) ◽  
pp. 2392-2399
Author(s):  
Yanli Liu ◽  
Chu-Min Li ◽  
Hua Jiang ◽  
Kun He

The performance of a branch-and-bound (BnB) algorithm for maximum common subgraph (MCS) problem and its related problems, like maximum common connected subgraph (MCCS) and induced Subgraph Isomorphism (SI), crucially depends on the branching heuristic. We propose a branching heuristic inspired from reinforcement learning with a goal of reaching a tree leaf as early as possible to greatly reduce the search tree size. Experimental results show that the proposed heuristic consistently and significantly improves the current best BnB algorithm for the MCS, MCCS and SI problems. An analysis is carried out to give insight on why and how reinforcement learning is useful in the new branching heuristic.


2021 ◽  
Vol E104.D (4) ◽  
pp. 481-489
Author(s):  
Natsuhito YOSHIMURA ◽  
Masashi TAWADA ◽  
Shu TANAKA ◽  
Junya ARAI ◽  
Satoshi YAGI ◽  
...  

2021 ◽  
Vol 212 (4) ◽  
Author(s):  
Maksim Evgen'evich Zhukovskii ◽  
Eremei Denisovich Kudryavtsev ◽  
Mikhail Vladimirovich Makarov ◽  
Aleksandra Sergeevna Shlychkova

2015 ◽  
Vol 605 ◽  
pp. 119-128 ◽  
Author(s):  
Peter Floderus ◽  
Mirosław Kowaluk ◽  
Andrzej Lingas ◽  
Eva-Marta Lundell

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