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: "sumset and inverse sumset inequalities for differential entropy and mutual information"
  Abstract: The sumset and inverse sumset theories of Freiman, Plunnecke and Ruzsa, give bounds connecting the cardinality of the sumset A +B =fa +b ; a2 A; b2 Bg of two discrete sets A;B, to the cardinalities (or the ner structure) of the original sets A;B. For example, the sum-dierence

Connected through hyperedge HE-1 (induced by source paper "countably infinite multilevel source polarization for non stationary erasure distributions"):
  with members:
    - "asymptotic distribution of multilevel channel polarization for a certain class of erasure channels"
    - "on the polarization levels of automorphic symmetric channels"
    - "general strong polarization"
    - "fano type inequalities based on general conditional information measures over countably infinite alphabets with list decoding"
    - "modular arithmetic erasure channels and their multilevel channel polarization"
    - "fourier analysis of mac polarization"
    - "a generalized erasure channel in the sense of polarization for binary erasure channels"
    - "polar coding for non stationary channels"

Connected through hyperedge HE-2 (induced by source paper "minimum entropy couplings and their applications"):
  with members:
    - "strong functional representation lemma and applications to coding theorems"
    - "bounds on the entropy of a function of a random variable and their applications"
    - "mutual information bounds via adjacency events"
    - "entropic causal inference"
    - "on the entropy of couplings"
    - "entropic inequalities and marginal problems"
    - "entropy bounds for discrete random variables via maximal coupling"
    - "a metric between probability distributions on finite sets of different cardinalities and applications to order reduction"

Connected through hyperedge HE-3 (induced by source paper "two remarks on generalized entropy power inequalities"):
  with members:
    - "an entropy inequality for symmetric random variables"
    - "forward and reverse entropy power inequalities in convex geometry"
    - "entropy bounds on abelian groups and the ruzsa divergence"
    - "beyond the entropy power inequality via rearrangements"
    - "generalized entropy power inequalities and monotonicity properties of information"

Connected through hyperedge HE-4 (induced by source paper "necessary conditions for k 2 degrees of freedom"):
  with members:
    - "degrees of freedom in vector interference channels"
    - "characterizing degrees of freedom through additive combinatorics"
    - "real interference alignment exploiting the potential of single antenna systems"

Connected through hyperedge HE-5 (induced by source paper "sum set inequalities from aligned image sets instruments for robust gdof bounds"):
  with members:
    - "aligned image sets and the generalized degrees of freedom of symmetric mimo interference channel with partial csit"
    - "network coherence time matters aligned image sets and the degrees of freedom of interference networks with finite precision csit and perfect csir"
    - "gdof of the k user symmetric miso bc bridging the gap between finite precision and perfect csit"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "wireless network information flow a deterministic approach"
    - "gaussian interference channel capacity to within one bit"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"

Connected through hyperedge HE-6 (induced by source paper "strengthening the entropy power inequality"):
  with members:
    - "forward and reverse entropy power inequalities in convex geometry"
    - "entropy bounds on abelian groups and the ruzsa divergence"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "justification of logarithmic loss via the benefit of side information"
    - "dissipation of information in channels with input constraints"
    - "an extremal inequality for long markov chains"
    - "a strengthened entropy power inequality for log concave densities"
    - "strong data processing inequalities and phi sobolev inequalities for discrete channels"

Connected through hyperedge HE-7 (induced by source paper "information measures inequalities and performance bounds for parameter estimation in impulsive noise environments"):
  with members:
    - "strengthening the entropy power inequality"
    - "on properties of the support of capacity achieving distributions for additive noise channel models with input cost constraints"
    - "links between the logarithmic sobolev inequality and the convolution inequalities for entropy and fisher information"
    - "stable distributions as noise models for molecular communication"
    - "a de bruijn identity for symmetric stable laws"
    - "information theoretic proofs of entropy power inequalities"

Connected through hyperedge HE-8 (induced by source paper "equivalence of additive combinatorial linear inequalities for shannon entropy and differential entropy"):
  with members:
    - "on additive combinatorial affine inequalities for shannon entropy and differential entropy"
    - "entropy bounds on abelian groups and the ruzsa divergence"
    - "dissipation of information in channels with input constraints"
    - "entropy and set cardinality inequalities for partition determined functions"

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)