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: "connecting spatially coupled ldpc code chains"
  Abstract: Codes constructed from connected spatially coupled low-density parity-check code (SC-LDPCC) chains are proposed and analyzed. It is demonstrated that connecting coupled chains results in improved iterative decoding performance. The constructed protograph ensembles have better iterative decoding thresholds compared to an individual SC-LDPCC chain and require less computational complexity per bit when operating in the near-threshold region. In addition, it is shown that the proposed constructions are asymptotically good in terms of minimum distance.

Connected through hyperedge HE-1 (induced by source paper "multi dimensional spatially coupled code design enhancing the cycle properties"):
  with members:
    - "efficient search and elimination of harmful objects in optimized qc sc ldpc codes"
    - "finite length construction of high performance spatially coupled codes via optimized partitioning and lifting"
    - "multi dimensional spatially coupled code design through informed relocation of circulants"
    - "spatially coupled code design for partial response channels optimal object minimization approach"
    - "high performance non binary spatially coupled codes for flash memories"
    - "hierarchical and high girth qc ldpc codes"
    - "multi dimensional spatially coupled codes"
    - "new codes on graphs constructed by connecting spatially coupled chains"

Connected through hyperedge HE-2 (induced by source paper "continuous transmission of spatially coupled ldpc code chains"):
  with members:
    - "spatially coupled ldpc codes constructed from protographs"
    - "triggering wave like convergence of tail biting spatially coupled ldpc codes"
    - "triggering wave like convergence of tail biting spatially coupled ldpc codes single and dual channel setup"
    - "a scaling law to predict the finite length performance of spatially coupled ldpc codes"
    - "threshold saturation for spatially coupled ldpc and ldgm codes on bms channels"
    - "terminated and tailbiting spatially coupled codes with optimized bit mappings for spectrally efficient fiber optical systems"
    - "on the convergence speed of spatially coupled ldpc ensembles"
    - "new codes on graphs constructed by connecting spatially coupled chains"

Connected through hyperedge HE-3 (induced by source paper "overlapped circular sc ldpc codes and their modified coupled codes"):
  with members:
    - "spatially coupled ldpc codes constructed from protographs"
    - "a scaling law to predict the finite length performance of spatially coupled ldpc codes"
    - "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"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "deriving good ldpc convolutional codes from ldpc block codes"
    - "threshold saturation on bms channels via spatial coupling"

Connected through hyperedge HE-4 (induced by source paper "new coupled codes constructed by overlapping circular sc ldpc codes"):
  with members:
    - "spatially coupled ldpc codes constructed from protographs"
    - "a scaling law to predict the finite length performance of spatially coupled ldpc codes"
    - "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"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "deriving good ldpc convolutional codes from ldpc block codes"
    - "threshold saturation on bms channels via spatial coupling"

Connected through hyperedge HE-5 (induced by source paper "improving the finite length performance of spatially coupled ldpc codes by connecting multiple code chains"):
  with members:
    - "new codes on graphs constructed by connecting spatially coupled chains"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "analytical solution of covariance evolution for irregular ldpc codes"
    - "windowed decoding of protograph based ldpc convolutional codes over erasure channels"
    - "exact free distance and trapping set growth rates for ldpc convolutional codes"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "improvement of bp based cdma multiuser detection by spatial coupling"
    - "scaling behavior of convolutional ldpc ensembles over the bec"

Connected through hyperedge HE-6 (induced by source paper "accelerating iterative detection for spatially coupled systems by collaborative training"):
  with members:
    - "performance improvement of iterative multiuser detection for large sparsely spread cdma systems by spatial coupling"
    - "chains of mean field models"
    - "a phenomenological study on threshold improvement via spatial coupling"
    - "information theoretically optimal compressed sensing via spatial coupling and approximate message passing"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "multiple access demodulation in the lifted signal graph with spatial coupling"
    - "improvement of bp based cdma multiuser detection by spatial coupling"
    - "the effect of spatial coupling on compressive sensing"

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)