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: "three source extractors for polylogarithmic min entropy"
  Abstract: We continue the study of constructing explicit extractors for independent general weak random sources. The ultimate goal is to give a construction that matches what is given by the probabilistic method --- an extractor for two independent $n$-bit weak random sources with min-entropy as small as $\log n+O(1)$. Previously, the best known result in the two-source case is an extractor by Bourgain \cite{Bourgain05}, which works for min-entropy $0.49n$; and the best known result in the general case is an earlier work of the author \cite{Li13b}, which gives an extractor for a constant number of independent sources with min-entropy $\mathsf{polylog(n)}$. However, the constant in the construction of \cite{Li13b} depends on the hidden constant in the best known seeded extractor, and can be large; moreover the error in that construction is only $1/\mathsf{poly(n)}$. #R##N#In this paper, we make two important improvements over the result in \cite{Li13b}. First, we construct an explicit extractor for \emph{three} independent sources on $n$ bits with min-entropy $k \geq \mathsf{polylog(n)}$. In fact, our extractor works for one independent source with poly-logarithmic min-entropy and another independent block source with two blocks each having poly-logarithmic min-entropy. Thus, our result is nearly optimal, and the next step would be to break the $0.49n$ barrier in two-source extractors. Second, we improve the error of the extractor from $1/\mathsf{poly(n)}$ to $2^{-k^{\Omega(1)}}$, which is almost optimal and crucial for cryptographic applications. Some of the techniques developed here may be of independent interests.

Connected through hyperedge HE-1 (induced by source paper "non malleable extractors and non malleable codes partially optimal constructions"):
  with members:
    - "an entropy lower bound for non malleable extractors"
    - "improved non malleable extractors non malleable codes and independent source extractors"
    - "explicit non malleable extractors multi source extractors and almost optimal privacy amplification protocols"
    - "explicit resilient functions matching ajtai linial"
    - "non malleable extractors and codes with their many tampered extensions"
    - "fuzzy extractors how to generate strong keys from biometrics and other noisy data"

Connected through hyperedge HE-2 (induced by source paper "improved non malleable extractors non malleable codes and independent source extractors"):
  with members:
    - "explicit non malleable extractors multi source extractors and almost optimal privacy amplification protocols"
    - "explicit resilient functions matching ajtai linial"
    - "non malleable extractors and codes with their many tampered extensions"
    - "non malleable coding against bit wise and split state tampering"
    - "capacity of non malleable codes"
    - "non malleable condensers for arbitrary min entropy and almost optimal protocols for privacy amplification"
    - "non malleable extractors two source extractors and privacy amplification"
    - "fuzzy extractors how to generate strong keys from biometrics and other noisy data"

Connected through hyperedge HE-3 (induced by source paper "explicit non malleable extractors multi source extractors and almost optimal privacy amplification protocols"):
  with members:
    - "improved non malleable extractors non malleable codes and independent source extractors"
    - "explicit resilient functions matching ajtai linial"
    - "non malleable extractors and codes with their many tampered extensions"
    - "non malleable condensers for arbitrary min entropy and almost optimal protocols for privacy amplification"
    - "non malleable extractors two source extractors and privacy amplification"
    - "bounded independence fools halfspaces"
    - "fuzzy extractors how to generate strong keys from biometrics and other noisy data"

Connected through hyperedge HE-4 (induced by source paper "non malleable extractors and codes with their many tampered extensions"):
  with members:
    - "non malleable coding against bit wise and split state tampering"
    - "capacity of non malleable codes"
    - "non malleable condensers for arbitrary min entropy and almost optimal protocols for privacy amplification"
    - "non malleable extractors two source extractors and privacy amplification"
    - "non malleable codes from the wire tap channel"
    - "fuzzy extractors how to generate strong keys from biometrics and other noisy data"

Connected through hyperedge HE-5 (induced by source paper "explicit resilient functions matching ajtai linial"):
  with members:
    - "pseudorandomness via the discrete fourier transform"

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)