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: "new families of ldpc block codes formed by terminating irregular protograph based ldpc convolutional codes"
  Abstract: In this paper, we present a method of constructing new families of LDPC block code ensembles formed by terminating irregular protograph-based LDPC convolutional codes. Using the accumulate-repeat-by-4-jagged-accumulate (AR4JA) protograph as an example, a density evolution analysis for the binary erasure channel shows that this flexible design technique gives rise to a large selection of LDPC block code ensembles with varying code rates and thresholds close to capacity. Further, by means of an asymptotic weight enumerator analysis, we show that all the ensembles in this family also have minimum distance that grows linearly with block length, i.e., they are asymptotically good.

Connected through hyperedge HE-1 (induced by source paper "design of irregular sc ldpc codes with non uniform degree distributions by linear programing"):
  with members:
    - "on the design of fast convergent ldpc codes for the bec an optimization approach"
    - "spatially coupled ldpc codes constructed from protographs"
    - "a scaling law to predict the finite length performance of spatially coupled ldpc codes"
    - "spatially coupled sparse codes on graphs theory and practice"
    - "on the convergence speed of spatially coupled ldpc ensembles"
    - "a simple proof of threshold saturation for coupled scalar recursions"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "spatially coupled repeat accumulate codes"

Connected through hyperedge HE-2 (induced by source paper "challenges and some new directions in channel coding"):
  with members:
    - "soft decision decoding of reed muller codes recursive lists"
    - "performance limits and practical decoding of interleaved reed solomon polar concatenated codes"
    - "non binary ldpc decoding using truncated messages in the walsh hadamard domain"
    - "expectation propagation for approximate bayesian inference"
    - "a proof of threshold saturation for spatially coupled ldpc codes on bms channels"
    - "universal polar codes"
    - "rate dependent analysis of the asymptotic behavior of channel polarization"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"

Connected through hyperedge HE-3 (induced by source paper "design of spatially coupled ldpc codes over gf q for windowed decoding"):
  with members:
    - "threshold saturation for nonbinary sc ldpc codes on the binary erasure channel"
    - "spatially coupled ldpc codes constructed from protographs"
    - "performance comparison of ldpc block and spatially coupled codes over gf q"
    - "nonbinary spatially coupled ldpc codes on the binary erasure channel"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "windowed decoding of protograph based ldpc convolutional codes over erasure channels"
    - "threshold saturation on channels with memory via spatial coupling"
    - "spatially coupled mackay neal codes and hsu anastasopoulos codes"

Connected through hyperedge HE-4 (induced by source paper "new codes on graphs constructed by connecting spatially coupled chains"):
  with members:
    - "a proof of threshold saturation for spatially coupled ldpc codes on bms channels"
    - "spatially coupled quasi cyclic quantum ldpc codes"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "universality for the noisy slepian wolf problem via spatial coupling"
    - "multiple access demodulation in the lifted signal graph with spatial coupling"
    - "coupled graphical models and their thresholds"
    - "bilayer ldpc convolutional codes for half duplex relay channels"
    - "improvement of bp based cdma multiuser detection by spatial coupling"

Connected through hyperedge HE-5 (induced by source paper "spatially coupled mackay neal codes and hsu anastasopoulos codes"):
  with members:
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "threshold saturation on bms channels via spatial coupling"
    - "performance and construction of polar codes on symmetric binary input memoryless channels"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"
    - "accumulate repeat accumulate codes capacity achieving ensembles of systematic codes for the erasure channel with bounded complexity"
    - "the generalized area theorem and some of its consequences"

Connected through hyperedge HE-6 (induced by source paper "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"):
  with members:
    - "threshold saturation on bms channels via spatial coupling"
    - "asymptotically good ldpc convolutional codes based on protographs"
    - "maxwell construction the hidden bridge between iterative and maximum a posteriori decoding"
    - "the generalized area theorem and some of its consequences"
    - "terminated ldpc convolutional codes with thresholds close to capacity"
    - "life above threshold from list decoding to area theorem and mse"

Connected through hyperedge HE-7 (induced by source paper "awgn channel analysis of terminated ldpc convolutional codes"):
  with members:
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "asymptotically regular ldpc codes with linear distance growth and thresholds close to capacity"
    - "threshold saturation on bms channels via spatial coupling"

Connected through hyperedge HE-8 (induced by source paper "spatially coupled repeat accumulate codes"):
  with members:
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "terminated ldpc convolutional codes with thresholds close to capacity"

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)