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: "optimizing tree decompositions in mso"
  Abstract: The classic algorithm of Bodlaender and Kloks [J. Algorithms, 1996] solves the following problem in linear fixed-parameter time: given a tree decomposition of a graph of (possibly suboptimal) width $k$, compute an optimum-width tree decomposition of the graph. In this work, we prove that this problem can also be solved in MSO in the following sense: for every positive integer $k$, there is an MSO transduction from tree decompositions of width $k$ to tree decompositions of optimum width. Together with our recent results [LICS 2016], this implies that for every $k$ there exists an MSO transduction which inputs a graph of treewidth $k$, and nondeterministically outputs its tree decomposition of optimum width. We also show that MSO transductions can be implemented in linear fixed-parameter time, which enables us to derive the algorithmic result of Bodlaender and Kloks as a corollary of our main result.

Connected through hyperedge HE-1 (induced by source paper "on supergraphs satisfying cmso properties"):
  with members:
    - "bidimensionality and kernels"
    - "definability equals recognizability for graphs of bounded treewidth"
    - "definability equals recognizability for k outerplanar graphs"
    - "a polynomial time algorithm for outerplanar diameter improvement"

Connected through hyperedge HE-2 (induced by source paper "typical sequences revisited computing width parameters of graphs"):
  with members:
    - "faster computation of path width"

Connected through hyperedge HE-3 (induced by source paper "definable decompositions for graphs of bounded linear cliquewidth"):
  with members:
    - "definability equals recognizability for graphs of bounded treewidth"

Connected through hyperedge HE-4 (induced by source paper "complexity of secure sets"):
  with members:
    - "the parameterized complexity of reasoning problems beyond np"
    - "not so easy problems for tree decomposable graphs"

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.LO(Logic in Computer Science)