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: "error floor approximation for ldpc codes in the awgn channel"
  Abstract: This paper addresses the prediction of error floors of low-density parity-check (LDPC) codes with variable nodes of constant degree in the additive white Gaussian noise (AWGN) channel. Specifically, we focus on the performance of the sum-product algorithm (SPA) decoder formulated in the log-likelihood ratio (LLR) domain. We hypothesize that several published error floor levels are due to the manner in which decoder implementations handled the LLRs at high SNRs. We employ an LLR-domain SPA decoder that does not saturate near-certain messages and find the error rates of our decoder to be lower by at least several orders of magnitude. We study the behavior of trapping sets (or near-codewords) that are the dominant cause of the reported error floors. #R##N#We develop a refined linear model, based on the work of Sun and others, that accurately predicts error floors caused by elementary tapping sets for saturating decoders. Performance results of several codes at several levels of decoder saturation are presented.

Connected through hyperedge HE-1 (induced by source paper "a combinatorial methodology for optimizing non binary graph based codes theoretical analysis and applications in data storage"):
  with members:
    - "finite length construction of high performance spatially coupled codes via optimized partitioning and lifting"
    - "spatially coupled code design for partial response channels optimal object minimization approach"
    - "a generalized algebraic approach to optimizing sc ldpc codes"
    - "high performance non binary spatially coupled codes for flash memories"
    - "threshold saturation for nonbinary sc ldpc codes on the binary erasure channel"
    - "spatially coupled ldpc codes constructed from protographs"
    - "a scaling law to predict the finite length performance of spatially coupled ldpc codes"
    - "iterative decoding of ldpc codes over the q ary partial erasure channel"

Connected through hyperedge HE-2 (induced by source paper "performance bounds and estimates for quantized ldpc decoders"):
  with members:
    - "thresholds of absorbing sets in low density parity check codes"
    - "on characterization of elementary trapping sets of variable regular ldpc codes"
    - "controlling the error floor in ldpc decoding"
    - "quantized iterative message passing decoders with low error floor for ldpc codes"
    - "the trapping redundancy of linear block codes"

Connected through hyperedge HE-3 (induced by source paper "mitigating clipping effects on error floors under belief propagation decoding of polar codes"):
  with members:
    - "comparison of polar decoders with existing low density parity check and turbo decoders"
    - "on deep learning based channel decoding"
    - "improving belief propagation decoding of polar codes using scattered exit charts"
    - "combining belief propagation and successive cancellation list decoding of polar codes on a gpu platform"
    - "flexible length polar codes through graph based augmentation"
    - "reduced complexity belief propagation decoders for polar codes"
    - "unified scaling of polar codes error exponent scaling exponent moderate deviations and error floors"
    - "the effect of saturation on belief propagation decoding of ldpc codes"

Connected through hyperedge HE-4 (induced by source paper "from cages to trapping sets and codewords a technique to derive tight upper bounds on the minimum size of trapping sets and minimum distance of ldpc codes"):
  with members:
    - "on the minimum stopping distance of array low density parity check codes"
    - "on characterization of elementary trapping sets of variable regular ldpc codes"
    - "practical graph isomorphism ii"
    - "quasi cyclic ldpc codes influence of proto and tanner graph structure on minimum hamming distance upper bounds"
    - "searching for voltage graph based ldpc tailbiting codes with large girth"
    - "lowering the error floor of ldpc codes using cyclic liftings"
    - "on the dynamics of the error floor behavior in regular ldpc codes"
    - "shortened array codes of large girth"

Connected through hyperedge HE-5 (induced by source paper "hardness results on finding leafless elementary trapping sets and elementary absorbing sets of ldpc codes"):
  with members:
    - "characterization and efficient search of non elementary trapping sets of ldpc codes with applications to stopping sets"
    - "on the tanner graph cycle distribution of random ldpc random protograph based ldpc and random quasi cyclic ldpc code ensembles"
    - "asymptotic average number of different categories of trapping sets absorbing sets and stopping sets in random regular and irregular ldpc code ensembles"
    - "on characterization of elementary trapping sets of variable regular ldpc codes"
    - "lowering the error floor of ldpc codes using cyclic liftings"
    - "a general method for finding low error rates of ldpc codes"

Connected through hyperedge HE-6 (induced by source paper "asymptotic average multiplicity of structures within different categories of trapping sets absorbing sets and stopping sets in random regular and irregular ldpc code ensembles"):
  with members:
    - "on the tanner graph cycle distribution of random ldpc random protograph based ldpc and random quasi cyclic ldpc code ensembles"
    - "hardness results on finding leafless elementary trapping sets and elementary absorbing sets of ldpc codes"
    - "thresholds of absorbing sets in low density parity check codes"
    - "on the minimum stopping distance of array low density parity check codes"
    - "on characterization of elementary trapping sets of variable regular ldpc codes"

Connected through hyperedge HE-7 (induced by source paper "the admm penalized decoder for ldpc codes"):
  with members:
    - "hierarchical and high girth qc ldpc codes"
    - "linear programming decoding of spatially coupled codes"
    - "an improved three weight message passing algorithm"
    - "counting in graph covers a combinatorial characterization of the bethe entropy function"
    - "mathematical programming decoding of binary linear codes theory and algorithms"
    - "adaptive cut generation algorithm for improved linear programming decoding of binary linear codes"
    - "decomposition methods for large scale lp decoding"
    - "instantons causing iterative decoding to cycle"

Connected through hyperedge HE-8 (induced by source paper "hardware based linear program decoding with the alternating direction method of multipliers"):
  with members:
    - "1 bit massive mu mimo precoding in vlsi"
    - "hardware based projection onto the parity polytope and probability simplex"
    - "lp decodable multipermutation codes"
    - "hierarchical and high girth qc ldpc codes"
    - "adaptive cut generation algorithm for improved linear programming decoding of binary linear codes"
    - "decomposition methods for large scale lp decoding"
    - "adaptive methods for linear programming decoding"
    - "towards low complexity linear programming decoding"

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)