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: "comparison of channels criteria for domination by a symmetric channel"
  Abstract: This paper studies the basic question of whether a given channel    $V$    can be dominated (in the precise sense of being more noisy) by a    $q$   -ary symmetric channel. The concept of less noisy relation between channels originated in network information theory (broadcast channels) and is defined in terms of mutual information or Kullback–Leibler divergence. We provide an equivalent characterization in terms of    $\chi ^{2}$   -divergence. Furthermore, we develop a simple criterion for domination by a    $q$   -ary symmetric channel in terms of the minimum entry of the stochastic matrix defining the channel    $V$   . The criterion is strengthened for the special case of additive noise channels over finite Abelian groups. Finally, it is shown that domination by a symmetric channel implies (via comparison of Dirichlet forms) a logarithmic Sobolev inequality for the original channel.

Connected through hyperedge HE-1 (induced by source paper "a novel approach to multivariate redundancy and synergy"):
  with members:
    - "understanding individual neuron importance using information theory"
    - "unique information and secret key agreement"
    - "pointwise partial information decomposition using the specificity and ambiguity lattices"
    - "secret sharing and shared information"
    - "measuring multivariate redundant information with pointwise common change in surprisal"
    - "quantifying synergistic information using intermediate stochastic variables"
    - "on the input degradedness and input equivalence between channels"
    - "synergy redundancy and common information"

Connected through hyperedge HE-2 (induced by source paper "on data processing and majorization inequalities for f divergences with applications"):
  with members:
    - "minimum entropy couplings and their applications"
    - "on f divergences integral representations local behavior and inequalities"
    - "strong data processing inequalities for channels and bayesian networks"
    - "bounds on the entropy of a function of a random variable and their applications"
    - "f divergence inequalities"
    - "e_ gamma resolvability"
    - "bounds between contraction coefficients"
    - "strong data processing inequalities for input constrained additive noise channels"

Connected through hyperedge HE-3 (induced by source paper "low density majority codes and the problem of graceful degradation"):
  with members:
    - "a lower bound on the expected distortion of joint source channel coding"
    - "low complexity concatenated ldpc staircase codes"
    - "deep joint source channel coding for wireless image transmission"
    - "strong data processing inequalities for channels and bayesian networks"
    - "a source channel separation theorem with application to the source broadcast problem"
    - "protograph based raptor like ldpc codes"
    - "intermediate performance of rateless codes"
    - "lossy source encoding via message passing and decimation over generalized codewords of ldgm codes"

Connected through hyperedge HE-4 (induced by source paper "application of information percolation method to reconstruction problems on graphs"):
  with members:
    - "strong data processing inequalities for channels and bayesian networks"
    - "mutual information in rank one matrix estimation"
    - "asymptotic mutual information for the two groups stochastic block model"
    - "mmse of probabilistic low rank matrix estimation universality with respect to the output channel"
    - "a note on the strong data processing inequalities in bayesian networks"
    - "dissipation of information in channels with input constraints"

Connected through hyperedge HE-5 (induced by source paper "a distance between channels the average error of mismatched channels"):
  with members:
    - "matched metrics to the binary asymmetric channels"
    - "on matched metric and channel problem"
    - "matched metrics and channels"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"

Connected through hyperedge HE-6 (induced by source paper "coding for positive rate in the source model key agreement problem"):
  with members:
    - "on the optimality of secret key agreement via omniscience"
    - "two measures of dependence"
    - "converses for secret key agreement and secure computing"
    - "common information and secret key capacity"
    - "secret key generation for a pairwise independent network model"
    - "the infinite message limit of two terminal interactive source coding"

Connected through hyperedge HE-7 (induced by source paper "bounds between contraction coefficients"):
  with members:
    - "f divergence inequalities"
    - "strong data processing inequalities for input constrained additive noise channels"
    - "information extraction under privacy constraints"
    - "tight bounds for symmetric divergence measures and a new inequality relating f divergences"
    - "dissipation of information in channels with input constraints"
    - "strong data processing inequalities and phi sobolev inequalities for discrete channels"
    - "linear information coupling problems"
    - "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover"

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.IT(Information Theory)