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: "subexponential fixed parameter tractability of cluster editing"
  Abstract: In the Correlation Clustering, also known as Cluster Editing, we are given an undirected n-vertex graph G and a positive integer k. The task is to decide if G can be transformed into a cluster graph, i.e., a disjoint union of cliques, by changing at most k adjacencies, i.e. by adding/deleting at most k edges. We give a subexponential algorithm that, in time 2^O(sqrt(pk)) + n^O(1) decides whether G can be transformed into a cluster graph with p cliques by changing at most k adjacencies. We complement our algorithmic findings by the following tight lower bounds on the asymptotic behaviour of our algorithm. We show that, unless ETH fails, for any constant 0 < s <= 1, there is p = Theta(k^s) such that there is no algorithm deciding in time 2^o(sqrt(pk)) n^O(1) whether G can be transformed into a cluster graph with p cliques by changing at most k adjacencies.

Connected through hyperedge HE-1 (induced by source paper "cluster editing parameterized above the size of a modification disjoint p 3 packing is para np hard"):
  with members:
    - "parameterizing edge modification problems above lower bounds"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "faster parameterized algorithms using linear programming"
    - "on multiway cut parameterized above lower bounds"

Connected through hyperedge HE-2 (induced by source paper "parameterizing edge modification problems above lower bounds"):
  with members:
    - "parameterized lower bounds and dichotomy results for the np completeness of h free edge modification problems"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "towards optimal and expressive kernelization for d hitting set"
    - "subexponential parameterized algorithm for computing the cutwidth of a semi complete digraph"
    - "faster parameterized algorithms using linear programming"
    - "on multiway cut parameterized above lower bounds"
    - "on the non existence of polynomial kernels for p l free edge modification problems"
    - "faster algorithms for feedback arc set tournament kemeny rank aggregation and betweenness tournament"

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)