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: "windowed decoding of spatially coupled codes"
  Abstract: Spatially coupled codes have been of interest recently owing to their superior performance over memoryless binary-input channels. The performance is good both asymptotically, since the belief propagation thresholds approach capacity, as well as for finite lengths, since degree-2 variables that result in high error floors can be completely avoided. However, to realize the promised good performance, one needs large blocklengths. This in turn implies a large latency and decoding complexity. For the memoryless binary erasure channel, we consider the decoding of spatially coupled codes through a windowed decoder that aims to retain many of the attractive features of belief propagation, while trying to reduce complexity further. We characterize the performance of this scheme by defining thresholds on channel erasure rates that guarantee a target erasure rate. We give analytical lower bounds on these thresholds and show that the performance approaches that of belief propagation exponentially fast in the window size. We give numerical results including the thresholds computed using density evolution and the erasure rate curves for finite-length spatially coupled codes.

Connected through hyperedge HE-1 (induced by source paper "non uniform windowed decoding for multi dimensional spatially coupled ldpc codes"):
  with members:
    - "minimizing the number of detrimental objects in multi dimensional graph based codes"
    - "finite length analysis of spatially coupled regular ldpc ensembles on burst erasure channels"
    - "new codes on graphs constructed by connecting spatially coupled chains"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "windowed decoding of protograph based ldpc convolutional codes over erasure channels"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"

Connected through hyperedge HE-2 (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-3 (induced by source paper "one and two bit message passing for sc ldpc codes with higher order modulation"):
  with members:
    - "a novel soft aided bit marking decoder for product codes"
    - "binary message passing decoding of product like codes"
    - "protograph based ldpc code design for ternary message passing decoding"
    - "energy efficient soft assisted product decoders"
    - "information rates and error exponents for probabilistic amplitude shaping"
    - "constant composition distribution matching"
    - "windowed decoding of protograph based ldpc convolutional codes over erasure channels"
    - "staircase codes fec for 100 gb s otn"

Connected through hyperedge HE-4 (induced by source paper "spatially coupled ldpc codes with sub block locality"):
  with members:
    - "ldpc codes with local and global decoding"
    - "finite length construction of high performance spatially coupled codes via optimized partitioning and lifting"
    - "multi block interleaved codes for local and global read access"
    - "integrated interleaved codes as locally recoverable codes properties and performance"
    - "spatially coupled ldpc codes constructed from protographs"
    - "a family of optimal locally recoverable codes"
    - "multi dimensional spatially coupled codes"
    - "new codes on graphs constructed by connecting spatially coupled chains"

Connected through hyperedge HE-5 (induced by source paper "spatially coupled ldpc codes with non uniform coupling for improved decoding speed"):
  with members:
    - "avoiding burst like error patterns in windowed decoding of spatially coupled ldpc codes"
    - "non uniformly coupled ldpc codes better thresholds smaller rate loss and less complexity"
    - "the velocity of the decoding wave for spatially coupled codes on bms channels"
    - "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"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"

Connected through hyperedge HE-6 (induced by source paper "spatially coupled ldpc codes and the multiple access channel"):
  with members:
    - "avoiding burst like error patterns in windowed decoding of spatially coupled ldpc codes"
    - "near gaussian multiple access channel capacity detection and decoding"
    - "wave like decoding of tail biting spatially coupled ldpc codes through iterative demapping"
    - "spatially coupled ldpc codes constructed from protographs"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"

Connected through hyperedge HE-7 (induced by source paper "a finite length construction of irregular spatially coupled codes"):
  with members:
    - "finite length construction of high performance spatially coupled codes via optimized partitioning and lifting"
    - "high performance non binary spatially coupled codes for flash memories"
    - "threshold saturation for nonbinary sc ldpc codes on the binary erasure channel"
    - "design of non binary quasi cyclic ldpc codes by ace optimization"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"

Connected through hyperedge HE-8 (induced by source paper "finite length construction of high performance spatially coupled codes via optimized partitioning and lifting"):
  with members:
    - "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"
    - "design of spatially coupled ldpc codes over gf q for windowed decoding"
    - "performance comparison of ldpc block and spatially coupled codes over gf q"
    - "design of non binary quasi cyclic ldpc codes by ace optimization"
    - "on characterization of elementary trapping sets of variable regular ldpc codes"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"

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)