human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "design and analysis of time invariant sc ldpc codes with small constraint length"):
  Abstract: In this paper, we deal with time-invariant low-density parity-check convolutional (LDPCC) codes, which are a subclass of spatially coupled low-density parity-check (SC-LDPC) codes. Classic design approaches usually start from quasi-cyclic (QC) low-density parity-check (LDPC) block codes and exploit suitable unwrapping procedures to obtain LDPCC codes. We show that the direct design of the LDPCC code syndrome former matrix or, equivalently, the symbolic parity-check matrix, leads to codes with smaller syndrome former constraint lengths with respect to the best solutions available in the literature. We provide theoretical lower bounds on the syndrome former constraint length for the most relevant families of LDPCC codes, under constraints on the minimum length of local cycles in their Tanner graphs. We also propose new code design techniques that approach or achieve such theoretical limits.

Includes members:
  Member "on advisability of designing short length qc ldpc codes using perfect difference families":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "design and analysis of time invariant sc ldpc convolutional codes with small constraint length")
  Member "spatially coupled ldpc codes constructed from protographs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "hierarchical and high girth qc ldpc codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi dimensional spatially coupled code design enhancing the cycle properties")
  Member "construction of high rate regular quasi cyclic ldpc codes based on cyclic difference families":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "design and analysis of time invariant sc ldpc convolutional codes with small constraint length")
  Member "spatially coupled ensembles universally achieve capacity under belief propagation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "searching for voltage graph based ldpc tailbiting codes with large girth":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "integer ring sieve irs for constructing compact qc ldpc codes with large girth")
  Member "progressive differences convolutional low density parity check codes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "design and analysis of time invariant sc ldpc convolutional codes with small constraint length")
  Member "windowed decoding of protograph based ldpc convolutional codes over erasure channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "finite length scaling of spatially coupled ldpc codes under window decoding over the bec")

Question: Please tell me which class the source paper 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)