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: "can iterative decoding for erasure correlated sources be universal"
  Abstract: In this paper, we consider a few iterative decoding schemes for the joint source-channel coding of correlated sources. Specifically, we consider the joint source-channel coding of two erasure correlated sources with transmission over different erasure channels. Our main interest is in determining whether or not various code ensembles can achieve the capacity region universally over varying channel conditions. We consider two ensembles in the class of low-density generator-matrix (LDGM) codes known as Luby-Transform (LT) codes and one ensemble of low-density parity-check (LDPC) codes. We analyze them using density evolution and show that optimized LT codes can achieve the extremal symmetric point of the capacity region. We also show that LT codes are not universal under iterative decoding for this problem because they cannot simultaneously achieve the extremal symmetric point and a corner point of the capacity region. The sub-universality of iterative decoding is characterized by studying the density evolution for LT codes.

Connected through hyperedge HE-1 (induced by source paper "asymptotic analysis on ldpc bicm scheme for compute and forward relaying"):
  with members:
    - "asymptotic analysis of spatial coupling coding for compute and forward relaying"
    - "secure computation and forward with linear codes"
    - "an algebraic approach to physical layer network coding"
    - "universal codes for the gaussian mac via spatial coupling"
    - "channel coding and decoding in a relay system operated with physical layer network coding"
    - "compute and forward harnessing interference through structured codes"
    - "density evolution for asymmetric memoryless channels"

Connected through hyperedge HE-2 (induced by source paper "spatially coupled ldpc codes for decode and forward relaying of two correlated sources over the bec"):
  with members:
    - "source channel coding theorems for the multiple access relay channel"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "universality for the noisy slepian wolf problem via spatial coupling"
    - "bilayer ldpc convolutional codes for half duplex relay channels"
    - "ldpc code design for transmission of correlated sources across noisy channels without csit"
    - "asymptotically regular ldpc codes with linear distance growth and thresholds close to capacity"
    - "bilayer low density parity check codes for decode and forward in relay channels"
    - "network information flow with correlated sources"

Connected through hyperedge HE-3 (induced by source paper "code design for the noisy slepian wolf problem"):
  with members:
    - "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"
    - "universality for the noisy slepian wolf problem via spatial coupling"
    - "universal codes for the gaussian mac via spatial coupling"
    - "ldpc code design for transmission of correlated sources across noisy channels without csit"
    - "slepian wolf code design via source channel correspondence"
    - "network information flow with correlated sources"

Connected through hyperedge HE-4 (induced by source paper "universal codes for the gaussian mac via spatial coupling"):
  with members:
    - "threshold saturation on channels with memory via spatial coupling"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "universality for the noisy slepian wolf problem via spatial coupling"
    - "coupled graphical models and their thresholds"
    - "spatially coupled codes over the multiple access channel"
    - "ldpc code design for transmission of correlated sources across noisy channels without csit"
    - "the effect of spatial coupling on compressive sensing"
    - "threshold saturation on bms channels via spatial coupling"

Connected through hyperedge HE-5 (induced by source paper "universality for the noisy slepian wolf problem via spatial coupling"):
  with members:
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "ldpc code design for transmission of correlated sources across noisy channels without csit"
    - "threshold saturation on bms channels via spatial coupling"
    - "slepian wolf code design via source channel correspondence"
    - "maxwell construction the hidden bridge between iterative and maximum a posteriori decoding"
    - "the generalized area theorem and some of its consequences"
    - "network information flow with correlated sources"

Connected through hyperedge HE-6 (induced by source paper "ldpc code design for transmission of correlated sources across noisy channels without csit"):
  with members:
    - "slepian wolf code design via source channel correspondence"
    - "network information flow with correlated sources"

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)