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: "beta expansion a theoretical framework for fast and recursive construction of polar codes"
  Abstract: In this work, we introduce $\beta$-expansion, a notion borrowed from number theory, as a theoretical framework to study fast construction of polar codes based on a recursive structure of universal partial order (UPO) and polarization weight (PW) algorithm. We show that polar codes can be recursively constructed from UPO by continuously solving several polynomial equations at each recursive step. From these polynomial equations, we can extract an interval for $\beta$, such that ranking the synthetic channels through a closed-form $\beta$-expansion preserves the property of nested frozen sets, which is a desired feature for low-complex construction. In an example of AWGN channels, we show that this interval for $\beta$ converges to a constant close to $1.1892 \approx 2^{1/4}$ when the code block-length trends to infinity. Both asymptotic analysis and simulation results validate our theoretical claims.

Connected through hyperedge HE-1 (induced by source paper "rate flexible fast polar decoders"):
  with members:
    - "efficient bit channel reliability computation for multi mode polar code encoders and decoders"
    - "llr based successive cancellation list decoder for polar codes with multibit decision"
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "a high throughput list decoder architecture for polar codes"
    - "algebraic properties of polar codes from a new polynomial formalism"
    - "construction of polar codes with sublinear complexity"
    - "symbol decision successive cancellation list decoder for polar codes"
    - "a comparative study of polar code constructions for the awgn channel"

Connected through hyperedge HE-2 (induced by source paper "ai coding learning to construct error correction codes"):
  with members:
    - "decoder tailored polar code design using the genetic algorithm"
    - "deepcode feedback codes via deep learning"
    - "parity check polar coding for 5g and beyond"
    - "an introduction to deep learning for the physical layer"
    - "algebraic properties of polar codes from a new polynomial formalism"
    - "construction of polar codes with sublinear complexity"
    - "a rm polar codes"
    - "list decoding of polar codes"

Connected through hyperedge HE-3 (induced by source paper "fast reliability ranking of matchstick minimal networks"):
  with members:
    - "algebraic properties of polar codes from a new polynomial formalism"
    - "construction of polar codes with sublinear complexity"
    - "performance and construction of polar codes on symmetric binary input memoryless channels"

Connected through hyperedge HE-4 (induced by source paper "design of polar codes in 5g new radio"):
  with members:
    - "on list decoding of 5g nr polar codes"
    - "parity check polar coding for 5g and beyond"
    - "design and implementation of a polar codes blind detection scheme"
    - "circular buffer rate matched polar codes"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "partitioned list decoding of polar codes analysis and improvement of finite length performance"
    - "on the error probability of short concatenated polar and cyclic codes with interleaving"
    - "on puncturing strategies for polar codes"

Connected through hyperedge HE-5 (induced by source paper "efficient error correcting codes in the short blocklength regime"):
  with members:
    - "low complexity joint channel estimation and list decoding of short codes"
    - "low latency short packet transmissions fixed length or harq"
    - "design of polar codes in 5g new radio"
    - "joint design of convolutional code and crc under serial list viterbi decoding"
    - "on the error probability of short concatenated polar and cyclic codes with interleaving"
    - "short packets over block memoryless fading channels pilot assisted or noncoherent transmission"
    - "polar code construction for list decoding"
    - "ultra sparse non binary ldpc codes for probabilistic amplitude shaping"

Connected through hyperedge HE-6 (induced by source paper "a flip syndrome list polar decoder architecture for ultra low latency communications"):
  with members:
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "a split reduced successive cancellation list decoder for polar codes"
    - "fast list decoders for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "low latency list decoding of polar codes with double thresholding"
    - "a decision aided parallel sc list decoder for polar codes"
    - "fast polar decoders algorithm and implementation"
    - "an efficient list decoder architecture for polar codes"

Connected through hyperedge HE-7 (induced by source paper "polarization weight family methods for polar code construction"):
  with members:
    - "on the construction of polar codes for channels with moderate input alphabet sizes"
    - "list decoding of polar codes"
    - "on the construction of polar codes"
    - "how to construct polar codes"

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)