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: "nearly optimal separations between communication or query complexity and partitions"
  Abstract: We show a nearly quadratic separation between deterministic communication complexity and the logarithm of the partition number, which is essentially optimal. This improves upon a recent power 1.5 separation of Goos, Pitassi, and Watson (FOCS 2015). In query complexity, we establish a nearly quadratic separation between deterministic (and even randomized) query complexity and subcube partition complexity, which is also essentially optimal. We also establish a nearly power 1.5 separation between quantum query complexity and subcube partition complexity, the first superlinear separation between the two measures. Lastly, we show a quadratic separation between quantum query complexity and one-sided subcube partition complexity.#R##N##R##N#Our query complexity separations use the recent cheat sheet framework of Aaronson, Ben-David, and Kothari. Our query functions are built up in stages by alternating function composition with the cheat sheet construction. The communication complexity separation follows from "lifting" the query separation to communication complexity.

Connected through hyperedge HE-1 (induced by source paper "optimal separation and strong direct sum for randomized query complexity"):
  with members:
    - "query to communication lifting for bpp"
    - "randomized query complexity of sabotaged and composed functions"
    - "information equals amortized communication"
    - "improved direct product theorems for randomized query complexity"

Connected through hyperedge HE-2 (induced by source paper "improved bounds on fourier entropy and min entropy"):
  with members:
    - "on the fourier entropy influence conjecture for extremal classes"
    - "improved lower bounds for the fourier entropy influence conjecture via lexicographic functions"
    - "low sensitivity functions from unambiguous certificates"
    - "degree and sensitivity tails of two distributions"
    - "polynomial bounds for decoupling with applications"
    - "almost quadratic gap between partition complexity and query communication complexity"
    - "analysis of boolean functions"
    - "a composition theorem for parity kill number"

Connected through hyperedge HE-3 (induced by source paper "query to communication lifting for bpp"):
  with members:
    - "entangled simultaneity versus classical interactivity in communication complexity"
    - "randomized query complexity of sabotaged and composed functions"
    - "approximating rectangles by juntas and weakly exponential lower bounds for lp relaxations of csps"
    - "communication complexity of approximate nash equilibria"
    - "separations in query complexity based on pointer functions"
    - "lower bounds on the size of semidefinite programming relaxations"
    - "approximate constraint satisfaction requires large lp relaxations"
    - "an optimal lower bound on the communication complexity of gap hamming distance"

Connected through hyperedge HE-4 (induced by source paper "all classical adversary methods are equivalent for total functions"):
  with members:
    - "randomized query complexity of sabotaged and composed functions"
    - "composition limits and separating examples for some boolean function complexity measures"

Connected through hyperedge HE-5 (induced by source paper "quadratically tight relations for randomized query complexity"):
  with members:
    - "composition limits and separating examples for some boolean function complexity measures"

Connected through hyperedge HE-6 (induced by source paper "low sensitivity functions from unambiguous certificates"):
  with members:
    - "randomized query complexity of sabotaged and composed functions"
    - "degree and sensitivity tails of two distributions"
    - "separations in query complexity based on pointer functions"
    - "smooth boolean functions are easy efficient algorithms for low sensitivity functions"
    - "sensitivity versus certificate complexity of boolean functions"
    - "size of sets with small sensitivity a generalization of simon s lemma"
    - "an o n 0 4732 upper bound on the complexity of the gks communication game"
    - "separating decision tree complexity from subcube partition complexity"

Connected through hyperedge HE-7 (induced by source paper "randomized query complexity of sabotaged and composed functions"):
  with members:
    - "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"
    - "the partition bound for classical communication complexity and query complexity"

Connected through hyperedge HE-8 (induced by source paper "nonnegative rank vs binary rank"):
  with members:
    - "communication is bounded by root of rank"
    - "ordered biclique partitions and communication complexity problems"

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)