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: "reoptimization of parameterized problems"
  Abstract: Parameterized complexity allows us to analyze the time complexity of problems with respect to a natural parameter depending on the problem. Reoptimization looks for solutions or approximations for problem instances when given solutions to neighboring instances. We try to combine both techniques, in order to better classify the complexity of problems in the parameterized setting. Specifically, we see that some problems in the class of compositional problems, which do not have polynomial kernels under standard complexity-theoretic assumptions, do have polynomial kernels under reoptimization for some local modifications. Moreover, we find that the reoptimization version of Vertex Cover has a polynomial kernel of size 2k using crown decomposition. Finally, in a negative result, we prove that the reoptimization version of Connected Vertex Cover does not have a Turing kernelization unless Set Cover has a polynomial kernel

Connected through hyperedge HE-1 (induced by source paper "adapting stable matchings to evolving preferences"):
  with members:
    - "stable roommates with narcissistic single peaked and single crossing preferences"
    - "matchings under preferences strength of stability and trade offs"
    - "stable matchings robust solutions and distributive lattices"
    - "stable marriage with multi modal preferences"
    - "parameterized dynamic cluster editing"
    - "finding stable matchings that are robust to errors in the input"
    - "finding robust solutions to stable marriage"
    - "how hard is it to satisfy almost all roommates"

Connected through hyperedge HE-2 (induced by source paper "a polynomial version of cereceda s conjecture"):
  with members:
    - "towards cereceda s conjecture for planar graphs"
    - "improved bounds for randomly sampling colorings via linear programming"
    - "on a conjecture of mohar concerning kempe equivalence of regular graphs"
    - "a reconfigurations analogue of brooks theorem and its consequences"
    - "recoloring graphs via tree decompositions"
    - "flipping edge labelled triangulations"

Connected through hyperedge HE-3 (induced by source paper "dynamic complexity meets parameterised algorithms"):
  with members:
    - "on the descriptive complexity of color coding"
    - "a strategy for dynamic programs start over and muddle through"
    - "dynamic parameterized problems and algorithms"
    - "fast parallel fixed parameter algorithms via color coding"
    - "reachability is in dynfo"
    - "point line cover the easy kernel is essentially tight"

Connected through hyperedge HE-4 (induced by source paper "linear transformations between colorings in chordal graphs"):
  with members:
    - "a polynomial version of cereceda s conjecture"
    - "recoloring graphs via tree decompositions"
    - "flipping edge labelled triangulations"

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.CC(Computational Complexity)