human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "kernelizing mso properties of trees of fixed height and some consequences"
  Abstract: We prove, in the universe of trees of bounded height, that for#N#any MSO formula with $m$ variables there exists a set of#N#kernels such that the size of each of these kernels can be#N#bounded by an elementary function of $m$. This yields a faster#N#MSO model checking algorithm for trees od bounded height than#N#the one for general trees. From that we obtain, by means of#N#interpretation, corresponding results for the classes of graphs#N#of bounded tree-depth (MSO2) and shrub-depth (MSO1), and thus#N#we give wide generalizations of Lampis' (ESA 2010) and Ganian's#N#(IPEC 2011) results. In the second part of the paper we use#N#this kernel structure to show that FO has the same expressive#N#power as MSO1 on the graph classes of bounded shrub-depth. This#N#makes bounded shrub-depth a good candidate for characterization#N#of the hereditary classes of graphs on which FO and MSO1#N#coincide, a problem recently posed by Elberfeld, Grohe, and#N#Tantau (LICS 2012).

Connected through hyperedge HE-1 (induced by source paper "sat encodings for treecut width and treedepth"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "the complexity landscape of decompositional parameters for ilp"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "solving and verifying the boolean pythagorean triples problem via cube and conquer"
    - "a faster parameterized algorithm for treedepth"
    - "structural parameterizations of the mixed chinese postman problem"
    - "computing tree depth faster than 2 n"
    - "where first order and monadic second order logic coincide"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DM(Discrete Mathematics)