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: "polynomial running times for polynomial time oracle machines"
  Abstract: This paper introduces a more restrictive notion of feasibility of functionals on Baire space than the established one from second-order complexity theory. Thereby making it possible to consider functions on the natural numbers as running times of oracle Turing machines and avoiding second-order polynomials, which are notoriously difficult to handle. Furthermore, all machines that witness this stronger kind of feasibility can be clocked and the different traditions of treating partial operators from computable analysis and second-order complexity theory are equated in a precise sense. The new notion is named "strong polynomial-time computability", and proven to be a strictly stronger requirement than polynomial-time computability. It is proven that within the framework for complexity of operators from analysis introduced by Kawamura and Cook the classes of strongly polynomial-time computable operators and polynomial-time computable operators coincide.

Connected through hyperedge HE-1 (induced by source paper "type two iteration with bounded query revision"):
  with members:
    - "type two polynomial time and restricted lookahead"
    - "some applications of logic to feasibility in higher types"

Connected through hyperedge HE-2 (induced by source paper "type two polynomial time and restricted lookahead"):
  with members:
    - "type two iteration with bounded query revision"
    - "complexity theory for operators in analysis"
    - "adventures in time and space"
    - "some applications of logic to feasibility in higher types"

Connected through hyperedge HE-3 (induced by source paper "parametrised second order complexity theory with applications to the study of interval computation"):
  with members:
    - "bounded time computation on metric spaces and banach spaces"
    - "complexity theory for spaces of integrable functions"
    - "computational complexity of solving polynomial differential equations over unbounded domains"
    - "function spaces for second order polynomial time"
    - "on function spaces and polynomial time computability"
    - "complexity theory for operators in analysis"
    - "parameterized uniform complexity in numerics from smooth to analytic from np hard to polytime"
    - "lipschitz continuous ordinary differential equations are polynomial space complete"

Connected through hyperedge HE-4 (induced by source paper "a minimal representation for continuous functions"):
  with members:
    - "complexity theory for spaces of integrable functions"
    - "complexity theory for operators in analysis"

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)