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 partition bound for classical communication complexity and query complexity"
  Abstract: We describe new lower bounds for randomized communication complexity and query complexity which we call the partition bounds. They are expressed as the optimum value of linear programs. For communication complexity we show that the partition bound is stronger than both the rectangle/corruption bound and the \gamma_2/generalized discrepancy bounds. In the model of query complexity we show that the partition bound is stronger than the approximate polynomial degree and classical adversary bounds. We also exhibit an example where the partition bound is quadratically larger than polynomial degree and classical adversary bounds.

Connected through hyperedge HE-1 (induced by source paper "query to communication lifting using low discrepancy gadgets"):
  with members:
    - "from expanders to hitting distributions and simulation theorems"
    - "query to communication lifting for bpp"
    - "simulation theorems via pseudorandom properties"
    - "communication lower bounds via critical block sensitivity"
    - "lower bounds on information complexity via zero communication protocols and applications"
    - "information equals amortized communication"
    - "improved direct product theorems for randomized query complexity"
    - "a strong direct product theorem for disjointness"

Connected through hyperedge HE-2 (induced by source paper "query to communication lifting for bpp using inner product"):
  with members:
    - "from expanders to hitting distributions and simulation theorems"
    - "query to communication lifting for bpp"
    - "communication lower bounds via critical block sensitivity"
    - "lower bounds on information complexity via zero communication protocols and applications"
    - "information equals amortized communication"
    - "improved direct product theorems for randomized query complexity"
    - "a strong direct product theorem for disjointness"

Connected through hyperedge HE-3 (induced by source paper "randomized query complexity of sabotaged and composed functions"):
  with members:
    - "nearly optimal separations between communication or query complexity and partitions"
    - "a quadratically tight partition bound for classical communication complexity and query complexity"
    - "composition limits and separating examples for some boolean function complexity measures"
    - "a composition theorem for decision tree complexity"
    - "improved direct product theorems for randomized query complexity"
    - "optimal direct sum results for deterministic and randomized decision tree complexity"

Connected through hyperedge HE-4 (induced by source paper "nearly optimal separations between communication or query complexity and partitions"):
  with members:
    - "separating decision tree complexity from subcube partition complexity"
    - "a quadratically tight partition bound for classical communication complexity and query complexity"
    - "composition limits and separating examples for some boolean function complexity measures"
    - "a composition theorem for decision tree complexity"

Connected through hyperedge HE-5 (induced by source paper "communication complexity of inevitable intersection"):
  with members:
    - "on the communication complexity of sparse set disjointness and exists equal problems"
    - "an optimal lower bound on the communication complexity of gap hamming distance"
    - "a strong direct product theorem for disjointness"

Connected through hyperedge HE-6 (induced by source paper "communication complexity of permutation invariant functions"):
  with members:
    - "on the role of shared randomness in simultaneous communication"
    - "information complexity is computable"
    - "communication with imperfectly shared randomness"
    - "on the communication complexity of sparse set disjointness and exists equal problems"
    - "lower bounds on information complexity via zero communication protocols and applications"
    - "on extracting common random bits from correlated sources on large alphabets"
    - "an optimal lower bound on the communication complexity of gap hamming distance"
    - "on extracting common random bits from correlated sources"

Connected through hyperedge HE-7 (induced by source paper "r enyi information complexity and an information theoretic characterization of the partition bound"):
  with members:
    - "tension bounds for information complexity"
    - "lower bounds on information complexity via zero communication protocols and applications"
    - "information complexity versus corruption and applications to orthogonality and gap hamming"
    - "information equals amortized communication"
    - "a discrepancy lower bound for information complexity"
    - "a direct sum theorem in communication complexity via message compression"

Connected through hyperedge HE-8 (induced by source paper "almost quadratic gap between partition complexity and query communication complexity"):
  with members:
    - "separating decision tree complexity from subcube partition complexity"
    - "a quadratically tight partition bound for classical communication complexity and query complexity"
    - "composition limits and separating examples for some boolean function complexity 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)