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: "deterministic and ensemble based spatially coupled product codes"
  Abstract: Several authors have proposed spatially-coupled (or convolutional-like) variants of product codes (PCs). In this paper, we focus on a parametrized family of generalized PCs that recovers some of these codes (e.g., staircase and block-wise braided codes) as special cases and study the iterative decoding performance over the binary erasure channel. Even though our code construction is deterministic (and not based on a randomized ensemble), we show that it is still possible to rigorously derive the density evolution (DE) equations that govern the asymptotic performance. The obtained DE equations are then compared to those for a related spatially-coupled PC ensemble. In particular, we show that there exists a family of (deterministic) braided codes that follows the same DE equation as the ensemble, for any spatial length and coupling width.

Connected through hyperedge HE-1 (induced by source paper "asymptotic analysis and spatial coupling of counter braids"):
  with members:
    - "spatially coupled turbo like codes"
    - "a simple proof of maxwell saturation for coupled scalar recursions"
    - "spatially coupled ldpc codes for decode and forward relaying of two correlated sources over the bec"
    - "approaching the rate distortion limit with spatial coupling belief propagation and decimation"
    - "threshold saturation in spatially coupled constraint satisfaction problems"
    - "lossy source coding via spatially coupled ldgm ensembles"
    - "approaching capacity at high rates with iterative hard decision decoding"
    - "information theoretically optimal compressed sensing via spatial coupling and approximate message passing"

Connected through hyperedge HE-2 (induced by source paper "density evolution for deterministic generalized product codes on the binary erasure channel at high rates"):
  with members:
    - "density evolution for deterministic generalized product codes with higher order modulation"
    - "a simple proof of maxwell saturation for coupled scalar recursions"
    - "irregular product codes"
    - "staircase codes fec for 100 gb s otn"
    - "approaching capacity at high rates with iterative hard decision decoding"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "on the asymptotic performance of iterative decoders for product codes"
    - "finite length scaling for iteratively decoded ldpc ensembles"

Connected through hyperedge HE-3 (induced by source paper "spatially coupled split component codes with iterative algebraic decoding"):
  with members:
    - "density evolution for deterministic generalized product codes on the binary erasure channel at high rates"
    - "a scaling law to predict the finite length performance of spatially coupled ldpc codes"
    - "a simple proof of maxwell saturation for coupled scalar recursions"
    - "staircase codes fec for 100 gb s otn"
    - "approaching capacity at high rates with iterative hard decision decoding"
    - "on the asymptotic performance of iterative decoders for product codes"
    - "finite length scaling for iteratively decoded ldpc ensembles"

Connected through hyperedge HE-4 (induced by source paper "approaching capacity at high rates with iterative hard decision decoding"):
  with members:
    - "density evolution for deterministic generalized product codes on the binary erasure channel at high rates"
    - "a simple proof of maxwell saturation for coupled scalar recursions"
    - "threshold saturation in spatially coupled constraint satisfaction problems"
    - "a simple proof of threshold saturation for coupled scalar recursions"
    - "staircase codes fec for 100 gb s otn"
    - "wave like solutions of general one dimensional spatially coupled systems"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "on the number of errors correctable with codes on graphs"

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)