human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "pseudorandomness for multilinear read once algebraic branching programs in any order"):
  Abstract: We give deterministic black-box polynomial identity testing algorithms for multilinear read-once oblivious algebraic branching programs (ROABPs), in n^(lg^2 n) time. Further, our algorithm is oblivious to the order of the variables. This is the first sub-exponential time algorithm for this model. Furthermore, our result has no known analogue in the model of read-once oblivious boolean branching programs with unknown order, as despite recent work there is no known pseudorandom generator for this model with sub-polynomial seed-length (for unbounded-width branching programs). #R##N#This result extends and generalizes the result of Forbes and Shpilka that obtained a n^(lg n)-time algorithm when given the order. We also extend and strengthen the work of Agrawal, Saha and Saxena that gave a black-box algorithm running in time exp((lg n)^d) for set-multilinear formulas of depth d. We note that the model of multilinear ROABPs contains the model of set-multilinear algebraic branching programs, which itself contains the model of set-multilinear formulas of arbitrary depth. We obtain our results by recasting, and improving upon, the ideas of Agrawal, Saha and Saxena. We phrase the ideas in terms of rank condensers and Wronskians, and show that our results improve upon the classical multivariate Wronskian, which may be of independent interest. #R##N#In addition, we give the first n^(lglg n) black-box polynomial identity testing algorithm for the so called model of diagonal circuits. This model, introduced by Saxena has recently found applications in the work of Mulmuley, as well as in the work of Gupta, Kamath, Kayal, Saptharishi. Previously work had given n^(lg n)-time algorithms for this class. More generally, our result holds for any model computing polynomials whose partial derivatives (of all orders) span a low dimensional linear space.

Includes members:
  Member "pseudorandomness for regular branching programs via fourier analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fourier bounds and pseudorandom generators for product tests")
  Member "factoring bivariate lacunary polynomials without heights":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "what can and can t we do with sparse polynomials")
  Member "explicit noether normalization for simultaneous conjugation via polynomial identity testing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a generalized sylvester gallai type theorem for quadratic polynomials")
  Member "quasipolynomial time identity testing of non commutative and read once oblivious algebraic branching programs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "derandomization and absolute reconstruction for sums of powers of linear forms")
  Member "on identity testing of tensors low rank recovery and compressed sensing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "lower bounds for matrix factorization")
  Member "better pseudorandom generators from milder pseudorandom restrictions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "exponentially faster shortest paths in the congested clique")
  Member "quasi polynomial hitting set for set depth delta formulas":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "succinct hitting sets and barriers to proving algebraic circuits lower bounds")
  Member "geometric complexity theory v equivalence between blackbox derandomization of polynomial identity testing and derandomization of noether s normalization lemma":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "from independent sets and vertex colorings to isotropic spaces and isotropic decompositions")

Question: Please tell me which class the source paper 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)