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: "lower bound and hierarchies for quantum ordered read k times branching programs"
  Abstract: We consider quantum version of known computational model Ordered Read-$k$-times Branching Programs or Ordered Binary Decision Diagrams with repeated test ($k$-QOBDD). We get lower bound for quantum $k$-OBDD for $k=o(\sqrt{n})$. This lower bound gives connection between characteristics of model and number of subfunctions for function. #R##N#Additionally, we prove the hierarchies for sublinear width bounded error quantum $k$-OBDDs using our lower bounds for $ k=o(\sqrt{n})$. Also we prove hierarchy for polynomial size bounded error quantum $k$-OBDDs constant $k$, and it differs from situation with unbounded error where known that increasing of $k$ does not gives any advantages. #R##N#Finally, we discuss relations between different classical and quantum models of $k$-OBDD.

Connected through hyperedge HE-1 (induced by source paper "new size hierarchies for two way automata"):
  with members:
    - "on the hierarchies for deterministic nondeterministic and probabilistic ordered read k times branching programs"
    - "width hierarchy for k obdd of small width"
    - "two way automata making choices only at the endmarkers"

Connected through hyperedge HE-2 (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"
    - "exact affine obdds"
    - "reordering method and hierarchies for quantum and classical ordered binary decision diagrams"
    - "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"

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)