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: "weight distributions of multi edge type ldpc codes"
  Abstract: The multi-edge type LDPC codes, introduced by Richardson and Urbanke, present the general class of structured LDPC codes. In this paper, we derive the average weight distributions of the multi-edge type LDPC code ensembles. Furthermore, we investigate the asymptotic exponential growth rate of the average weight distributions and investigate the connection to the stability condition of the density evolution.

Connected through hyperedge HE-1 (induced by source paper "performance analysis and design of two edge type ldpc codes for the bec wiretap channel"):
  with members:
    - "achieving the secrecy capacity of wiretap channels using polar codes"
    - "polar coding for secure transmission and key agreement"
    - "nested polar codes for wiretap and relay channels"
    - "strong secrecy for erasure wiretap channels"
    - "analysis of peeling decoder for met ensembles"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"
    - "maxwell construction the hidden bridge between iterative and maximum a posteriori decoding"
    - "applications of ldpc codes to the wiretap channel"

Connected through hyperedge HE-2 (induced by source paper "spectral shape of doubly generalized ldpc codes efficient and exact evaluation"):
  with members:
    - "weight distributions of regular low density parity check codes over finite fields"
    - "on the growth rate of the weight distribution of irregular doubly generalized ldpc codes"
    - "on a class of doubly generalized ldpc codes with single parity check variable nodes"
    - "doubly generalized ldpc codes stability bound over the bec"
    - "maxwell construction the hidden bridge between iterative and maximum a posteriori decoding"

Connected through hyperedge HE-3 (induced by source paper "stability of iterative decoding of multi edge type doubly generalized ldpc codes over the bec"):
  with members:
    - "on the growth rate of the weight distribution of irregular doubly generalized ldpc codes"
    - "doubly generalized ldpc codes stability bound over the bec"

Connected through hyperedge HE-4 (induced by source paper "rate equivocation optimal spatially coupled ldpc codes for the bec wiretap channel"):
  with members:
    - "performance analysis and design of two edge type ldpc codes for the bec wiretap channel"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "achieving the secrecy capacity of wiretap channels using polar codes"
    - "polar coding for secure transmission and key agreement"
    - "nested polar codes for wiretap and relay channels"
    - "the effect of spatial coupling on compressive sensing"
    - "secrecy achieving polar coding for binary input memoryless symmetric wire tap channels"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"

Connected through hyperedge HE-5 (induced by source paper "spectral shape of check hybrid gldpc codes"):
  with members:
    - "growth rate of the weight distribution of doubly generalized ldpc codes general case and efficient evaluation"

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)