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: "the complexity of computing the size of an interval"
  Abstract: Given a p-order A over a universe of strings (i.e., a transitive, reflexive, antisymmetric relation such that if (x, y) is an element of A then |x| is polynomially bounded by |y|), an interval size function of A returns, for each string x in the universe, the number of strings in the interval between strings b(x) and t(x) (with respect to A), where b(x) and t(x) are functions that are polynomial-time computable in the length of x. #R##N#By choosing sets of interval size functions based on feasibility requirements for their underlying p-orders, we obtain new characterizations of complexity classes. We prove that the set of all interval size functions whose underlying p-orders are polynomial-time decidable is exactly #P. We show that the interval size functions for orders with polynomial-time adjacency checks are closely related to the class FPSPACE(poly). Indeed, FPSPACE(poly) is exactly the class of all nonnegative functions that are an interval size function minus a polynomial-time computable function. #R##N#We study two important functions in relation to interval size functions. The function #DIV maps each natural number n to the number of nontrivial divisors of n. We show that #DIV is an interval size function of a polynomial-time decidable partial p-order with polynomial-time adjacency checks. The function #MONSAT maps each monotone boolean formula F to the number of satisfying assignments of F. We show that #MONSAT is an interval size function of a polynomial-time decidable total p-order with polynomial-time adjacency checks. #R##N#Finally, we explore the related notion of cluster computation.

Connected through hyperedge HE-1 (induced by source paper "characterizations and approximability of hard counting classes below p"):
  with members:
    - "efficient logspace classes for enumeration counting and uniform generation"
    - "linear datalog and bounded path duality of relational structures"

Connected through hyperedge HE-2 (induced by source paper "on randomized counting versus randomised decision"):
  with members:
    - "linear datalog and bounded path duality of relational structures"

Connected through hyperedge HE-3 (induced by source paper "a structured view on weighted counting with relations to counting quantum computation and applications"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the complexity of bayesian networks specified by propositional and relational languages"
    - "the complexity of weighted and unweighted csp"
    - "complexity of counting csp with complex weights"
    - "approximate counting for complex weighted boolean constraint satisfaction problems"
    - "the complexity of weighted boolean csp"
    - "inapproximability of the tutte polynomial"
    - "the computational complexity of probabilistic planning"

Connected through hyperedge HE-4 (induced by source paper "self reducible with easy decision version counting problems admit additive error approximation connections to counting complexity exponential time complexity and circuit lower bounds"):
  with members:
    - "the relative exponential time complexity of approximate counting satisfying assignments"

Connected through hyperedge HE-5 (induced by source paper "complexity classes of equivalence problems revisited"):
  with members:
    - "quantum computation and lattice problems"

Connected through hyperedge HE-6 (induced by source paper "the consequences of eliminating np solutions"):
  with members:
    - "cluster computing and the power of edge recognition"

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)