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: "reducing randomness via irrational numbers"
  Abstract: We propose a general methodology for testing whether a given polynomial with integer coefficients is identically zero. The methodology evaluates the polynomial at efficiently computable approximations of suitable irrational points. In contrast to the classical technique of DeMillo, Lipton, Schwartz, and Zippel, this methodology can decrease the error probability by increasing the precision of the approximations instead of using more random bits. Consequently, randomized algorithms that use the classical technique can generally be improved using the new methodology. To demonstrate the methodology, we discuss two nontrivial applications. The first is to decide whether a graph has a perfect matching in parallel. Our new NC algorithm uses fewer random bits while doing less work than the previously best NC algorithm by Chari, Rohatgi, and Srinivasan. The second application is to test the equality of two multisets of integers. Our new algorithm improves upon the previously best algorithms by Blum and Kannan and can speed up their checking algorithm for sorting programs on a large range of inputs.

Connected through hyperedge HE-1 (induced by source paper "efficiently correcting matrix products"):
  with members:
    - "powers of tensors and fast matrix multiplication"
    - "faster algorithms for rectangular matrix multiplication"
    - "compressed matrix multiplication"

Connected through hyperedge HE-2 (induced by source paper "bipartite perfect matching is in quasi nc"):
  with members:
    - "deterministically isolating a perfect matching in bipartite planar graphs"
    - "derandomizing the isolation lemma and lower bounds for circuit size"

Connected through hyperedge HE-3 (induced by source paper "progress on polynomial identity testing ii"):
  with members:
    - "pseudorandomness for multilinear read once algebraic branching programs in any order"
    - "hitting sets for low distance multilinear depth 3"
    - "improved bounds for reduction to depth 4 and depth 3"
    - "explicit noether normalization for simultaneous conjugation via polynomial identity testing"
    - "quasipolynomial time identity testing of non commutative and read once oblivious algebraic branching programs"
    - "algebraic independence in positive characteristic a p adic calculus"
    - "on identity testing of tensors low rank recovery and compressed sensing"
    - "geometric complexity theory v equivalence between blackbox derandomization of polynomial identity testing and derandomization of noether s normalization lemma"

Connected through hyperedge HE-4 (induced by source paper "algebraic independence and blackbox identity testing"):
  with members:
    - "progress on polynomial identity testing ii"
    - "blackbox identity testing for bounded top fanin depth 3 circuits the field doesn t matter"
    - "from sylvester gallai configurations to rank bounds improved black box identity test for depth 3 circuits"
    - "deterministic polynomial time algorithms for matrix completion problems"
    - "an almost optimal rank bound for depth 3 identities"

Connected through hyperedge HE-5 (induced by source paper "blackbox identity testing for bounded top fanin depth 3 circuits the field doesn t matter"):
  with members:
    - "progress on polynomial identity testing ii"
    - "algebraic independence and blackbox identity testing"
    - "from sylvester gallai configurations to rank bounds improved black box identity test for depth 3 circuits"
    - "an almost optimal rank bound for depth 3 identities"

Connected through hyperedge HE-6 (induced by source paper "from sylvester gallai configurations to rank bounds improved black box identity test for depth 3 circuits"):
  with members:
    - "progress on polynomial identity testing ii"
    - "an almost optimal rank bound for depth 3 identities"

Connected through hyperedge HE-7 (induced by source paper "the complexity of testing monomials in multivariate polynomials"):
  with members:
    - "approximating multilinear monomial coefficients and maximum multilinear monomials in multivariate polynomials"
    - "algorithms for testing monomials in multivariate polynomials"

Connected through hyperedge HE-8 (induced by source paper "approximating multilinear monomial coefficients and maximum multilinear monomials in multivariate polynomials"):
  with members:
    - "the complexity of testing monomials in multivariate polynomials"
    - "algorithms for testing monomials in multivariate polynomials"

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.DS(Data Structures and Algorithms)