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: "polar codes for broadcast channels"
  Abstract: Polar codes are introduced for discrete memoryless broadcast channels. For    $m$   -user deterministic broadcast channels, polarization is applied to map uniformly random message bits from    $m$   -independent messages to one codeword while satisfying broadcast constraints. The polarization-based codes achieve rates on the boundary of the private-message capacity region. For two-user noisy broadcast channels, polar implementations are presented for two information-theoretic schemes: 1) Cover’s superposition codes and 2) Marton’s codes. Due to the structure of polarization, constraints on the auxiliary and channel-input distributions are identified to ensure proper alignment of polarization indices in the multiuser setting. The codes achieve rates on the capacity boundary of a few classes of broadcast channels (e.g., binary-input stochastically degraded). The complexity of encoding and decoding is    $ O(n \log n)$   , where    $n$    is the block length. In addition, polar code sequences obtain a stretched-exponential decay of    $ O(2^{-n^{\beta }})$    of the average block error probability where    $0   . Reproducible experiments for finite block lengths    $n = 512, 1024, 2048$    corroborate the theory.

Connected through hyperedge HE-1 (induced by source paper "polar codes simplicity random codes durability"):
  with members:
    - "reed muller codes polarize"
    - "ar i kan meets shannon polar codes with near optimal convergence to channel capacity"
    - "explicit polar codes with small scaling exponent"
    - "on the capacity of channels with deletions and states"
    - "polar codes for the deletion channel weak and strong polarization"
    - "polar like codes and asymptotic tradeoff among block length code rate and error probability"
    - "scaling exponent and moderate deviations asymptotics of polar codes for the awgn channel"
    - "relaxed polar codes"

Connected through hyperedge HE-2 (induced by source paper "sign bit shaping using polar codes"):
  with members:
    - "probabilistically shaped multi level coding with polar codes for fading channels"
    - "code constructions for physical unclonable functions and biometric secrecy systems"
    - "efficient polar code construction for higher order modulation"
    - "llr based successive cancellation list decoding of polar codes"
    - "how to achieve the capacity of asymmetric channels"
    - "achievable rates for shaped bit metric decoding"
    - "list decoding of polar codes"
    - "a pragmatic coded modulation scheme for high spectral efficiency fiber optic communications"

Connected through hyperedge HE-3 (induced by source paper "channel coding at low capacity"):
  with members:
    - "polar codes with a stepped boundary"
    - "recursive list decoding for reed muller codes"
    - "beta beta bounds finite blocklength analog of the golden formula"
    - "relaxed polar codes"
    - "achieving the uniform rate region of general multiple access channels by polar coding"
    - "coding in the finite blocklength regime bounds based on laplace integrals and their asymptotic approximations"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the third order term in the normal approximation for the awgn channel"

Connected through hyperedge HE-4 (induced by source paper "general strong polarization"):
  with members:
    - "on error correction performance and implementation of polar code list decoders for 5g"
    - "binary linear codes with optimal scaling and quasi linear complexity"
    - "near optimal finite length scaling for polar codes over large alphabets"
    - "unified scaling of polar codes error exponent scaling exponent moderate deviations and error floors"
    - "finite length scaling for polar codes"
    - "an entropy sumset inequality and polynomially fast convergence to shannon capacity over all alphabets"
    - "polar coding for interference networks"
    - "polar codes speed of polarization and polynomial gap to capacity"

Connected through hyperedge HE-5 (induced by source paper "channel polarization through the lens of blackwell measures"):
  with members:
    - "general strong polarization"
    - "varentropy decreases under the polar transform"
    - "finite length scaling for polar codes"
    - "re proving channel polarization theorems an extremality and robustness analysis"
    - "polar codes speed of polarization and polynomial gap to capacity"
    - "polar codes for the two user multiple access channel"
    - "on the construction of polar codes"
    - "polar codes for q ary channels q 2 r"

Connected through hyperedge HE-6 (induced by source paper "joint coordination channel coding for strong coordination over noisy channels based on polar codes"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "strong coordination over noisy channels is separation sufficient"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "strong coordination over multi hop line networks"
    - "asymmetric error correction and flash memory rewriting using polar codes"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "strong coordination over a line network"

Connected through hyperedge HE-7 (induced by source paper "relaxed polar codes"):
  with members:
    - "recursive constructions and their maximum likelihood decoding"
    - "achieving the uniform rate region of general multiple access channels by polar coding"
    - "binary polar codes are optimised codes for bitwise multistage decoding"
    - "fast polar decoders algorithm and implementation"
    - "performance limits and practical decoding of interleaved reed solomon polar concatenated codes"
    - "compound polar codes"
    - "universal polar codes"
    - "list decoding of polar codes"

Connected through hyperedge HE-8 (induced by source paper "polar coding for the cognitive interference channel with confidential messages"):
  with members:
    - "achieving the uniform rate region of general multiple access channels by polar coding"
    - "secure polar coding for the two way wiretap channel"
    - "achieving secrecy capacity of the wiretap channel and broadcast channel with a confidential component"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "polar coding for secret key generation"
    - "polar codes for arbitrary dmcs and arbitrary macs"
    - "universal polar codes"
    - "polar codes for the two user multiple access channel"

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)