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: "approximating multilinear monomial coefficients and maximum multilinear monomials in multivariate polynomials"
  Abstract: This paper is our third step towards developing a theory of testing monomials in multivariate polynomials and concentrates on two problems: (1) How to compute the coefficients of multilinear monomials; and (2) how to find a maximum multilinear monomial when the input is a ΠΣΠ polynomial. We first prove that the first problem is #P-hard and then devise a O*(3n s(n)) upper bound for this problem for any polynomial represented by an arithmetic circuit of size s(n). Later, this upper bound is improved to O*(2n) for ΠΣΠ polynomials. We then design fully polynomial-time randomized approximation schemes for this problem for ΠΣ polynomials. On the negative side, we prove that, even for ΠΣΠ polynomials with terms of degree ≤ 2, the first problem cannot be approximated at all for any approximation factor ≥ 1, nor "weakly approximated" in a much relaxed setting, unless P=NP. For the second problem, we first give a polynomial time λ-approximation algorithm for ΠΣΠ polynomials with terms of degrees no more a constant λ ≥ 2. On the inapproximability side, we give a n(1-e)/2 lower bound, for any e > 0, on the approximation factor for ΠΣΠ polynomials. When the degrees of the terms in these polynomials are constrained as le; 2, we prove a 1.0476 lower bound, assuming P ≠ NP; and a higher 1.0604 lower bound, assuming the Unique Games Conjecture.

Connected through hyperedge HE-1 (induced by source paper "monomial testing and applications"):
  with members:
    - "towards randomized testing of q monomials in multivariate polynomials"
    - "the complexity of testing monomials in multivariate polynomials"
    - "narrow sieves for parameterized paths and packings"
    - "determinant sums for undirected hamiltonicity"
    - "algorithms for testing monomials in multivariate polynomials"

Connected through hyperedge HE-2 (induced by source paper "towards randomized testing of q monomials in multivariate polynomials"):
  with members:
    - "the complexity of testing monomials in multivariate polynomials"
    - "narrow sieves for parameterized paths and packings"
    - "determinant sums for undirected hamiltonicity"
    - "algorithms for testing monomials in multivariate polynomials"

Connected through hyperedge HE-3 (induced by source paper "faster deterministic algorithms for packing matching and t dominating set problems"):
  with members:
    - "monomial testing and applications"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-4 (induced by source paper "monomials in arithmetic circuits complete problems in the counting hierarchy"):
  with members:
    - "algebraic independence in positive characteristic a p adic calculus"
    - "the complexity of testing monomials in multivariate polynomials"
    - "interpolation in valiant s theory"

Connected through hyperedge HE-5 (induced by source paper "the complexity of testing monomials in multivariate polynomials"):
  with members:
    - "algorithms for testing monomials in multivariate polynomials"
    - "reducing randomness via irrational numbers"

Connected through hyperedge HE-6 (induced by source paper "multivariate polynomial integration and derivative are polynomial time inapproximable unless p np"):
  with members:
    - "the complexity of testing monomials in multivariate polynomials"
    - "algorithms for testing monomials in multivariate polynomials"

Connected through hyperedge HE-7 (induced by source paper "algorithms for testing monomials in multivariate polynomials"):
  with members:
    - "the complexity of testing monomials in multivariate polynomials"
    - "reducing randomness via irrational numbers"

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)