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: "reordering method and hierarchies for quantum and classical ordered binary decision diagrams"
  Abstract: We consider Quantum OBDD model. It is restricted version of read-once Quantum Branching Programs, with respect to "width" complexity. It is known that maximal complexity gap between deterministic and quantum model is exponential. But there are few examples of such functions. We present method (called "reordering"), which allows to build Boolean function $g$ from Boolean Function $f$, such that if for $f$ we have gap between quantum and deterministic OBDD complexity for natural order of variables, then we have almost the same gap for function $g$, but for any order. Using it we construct the total function $REQ$ which deterministic OBDD complexity is $2^{\Omega(n/\log n)}$ and present quantum OBDD of width $O(n^2)$. It is bigger gap for explicit function that was known before for OBDD of width more than linear. Using this result we prove the width hierarchy for complexity classes of Boolean functions for quantum OBDDs. #R##N#Additionally, we prove the width hierarchy for complexity classes of Boolean functions for bounded error probabilistic OBDDs. And using "reordering" method we extend a hierarchy for $k$-OBDD of polynomial size, for $k=o(n/\log^3n)$. Moreover, we proved a similar hierarchy for bounded error probabilistic $k$-OBDD. And for deterministic and probabilistic $k$-OBDDs of superpolynomial and subexponential size.

Connected through hyperedge HE-1 (induced by source paper "quantum online streaming algorithms with constant number of advice bits"):
  with members:
    - "quantum online algorithms with respect to space complexity"
    - "quantum versus classical online streaming algorithms with logarithmic size of memory"
    - "exact affine obdds"
    - "very narrow quantum obdds and width hierarchies for classical obdds"
    - "the frequent items problem in online streaming under various performance measures"
    - "superiority of exact quantum automata for promise problems"
    - "a comparison of performance measures for online algorithms"

Connected through hyperedge HE-2 (induced by source paper "quantum dynamic programming algorithm for dags applications for and or dag evaluation and dag s diameter search"):
  with members:
    - "very narrow quantum obdds and width hierarchies for classical obdds"

Connected through hyperedge HE-3 (induced by source paper "quantum versus classical online streaming algorithms with logarithmic size of memory"):
  with members:
    - "quantum online algorithms with respect to space complexity"
    - "lower bound and hierarchies for quantum ordered read k times branching programs"
    - "exact affine obdds"
    - "nondeterministic unitary obdds"
    - "automata and quantum computing"
    - "unary probabilistic and quantum automata on promise problems"
    - "very narrow quantum obdds and width hierarchies for classical obdds"
    - "the frequent items problem in online streaming under various performance measures"

Connected through hyperedge HE-4 (induced by source paper "lower bound and hierarchies for quantum ordered read k times branching programs"):
  with members:
    - "nondeterministic unitary obdds"

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)