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: "universal codes for the gaussian mac via spatial coupling"
  Abstract: We consider transmission of two independent and separately encoded sources over a two-user binary-input Gaussian multiple-access channel. The channel gains are assumed to be unknown at the transmitter and the goal is to design an encoder-decoder pair that achieves reliable communication for all channel gains where this is theoretically possible. We call such a system \emph{universal} with respect to the channel gains. #R##N#Kudekar et al. recently showed that terminated low-density parity-check convolutional codes (a.k.a. spatially-coupled low-density parity-check ensembles) have belief-propagation thresholds that approach their maximum a-posteriori thresholds. This was proven for binary erasure channels and shown empirically for binary memoryless symmetric channels. It was conjectured that the principle of spatial coupling is very general and the phenomenon of threshold saturation applies to a very broad class of graphical models. In this work, we derive an area theorem for the joint decoder and empirically show that threshold saturation occurs for this problem. As a result, we demonstrate near-universal performance for this problem using the proposed spatially-coupled coding system.

Connected through hyperedge HE-1 (induced by source paper "compressed coding amp based decoding and analog spatial coupling"):
  with members:
    - "analysis of approximate message passing with non separable denoisers and markov random field priors"
    - "approximate message passing decoder and capacity achieving sparse superposition codes"
    - "capacity achieving sparse superposition codes via approximate message passing decoding"
    - "universal sparse superposition codes with spatial coupling and gamp decoding"
    - "state evolution for approximate message passing with non separable functions"
    - "generalized approximate message passing decoder for universal sparse superposition codes"
    - "threshold saturation of spatially coupled sparse superposition codes for all memoryless channels"
    - "spatially coupled ldpc codes constructed from protographs"

Connected through hyperedge HE-2 (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"
    - "channel coding and decoding in a relay system operated with physical layer network coding"
    - "can iterative decoding for erasure correlated sources be universal"
    - "compute and forward harnessing interference through structured codes"
    - "density evolution for asymmetric memoryless channels"

Connected through hyperedge HE-3 (induced by source paper "compute and forward relaying with ldpc codes over qpsk scheme"):
  with members:
    - "asymptotic analysis on spatial coupling coding for two way relay channels"
    - "physical layer network coding a random coding error exponent perspective"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "network coded multiple access"
    - "compute and forward harnessing interference through structured codes"
    - "joint physical layer coding and network coding for bi directional relaying"

Connected through hyperedge HE-4 (induced by source paper "ldpc coded multiuser shaping for the gaussian multiple access channel"):
  with members:
    - "near gaussian multiple access channel capacity detection and decoding"
    - "spatially coupled codes over the multiple access channel"

Connected through hyperedge HE-5 (induced by source paper "sliding window superposition coding two user interference channels"):
  with members:
    - "optimal achievable rates for interference networks with random codes"
    - "polar coding for interference networks"
    - "is non unique decoding necessary"
    - "a comparison of superposition coding schemes"
    - "rate splitting in the presence of multiple receivers"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "to decode the interference or to consider it as noise"

Connected through hyperedge HE-6 (induced by source paper "spatially coupled ldpc codes constructed from protographs"):
  with members:
    - "performance comparison of ldpc block and spatially coupled codes over gf q"
    - "deterministic constructions for large girth protograph ldpc codes"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "lossy source coding via spatially coupled ldgm ensembles"
    - "spatially coupled random access on graphs"
    - "windowed decoding of protograph based ldpc convolutional codes over erasure channels"
    - "threshold saturation on channels with memory via spatial coupling"
    - "information theoretically optimal compressed sensing via spatial coupling and approximate message passing"

Connected through hyperedge HE-7 (induced by source paper "a simple proof of maxwell saturation for coupled scalar recursions"):
  with members:
    - "threshold saturation for spatially coupled ldpc and ldgm codes on bms channels"
    - "approaching the rate distortion limit with spatial coupling belief propagation and decimation"
    - "threshold saturation in spatially coupled constraint satisfaction problems"
    - "nonbinary spatially coupled ldpc codes on the binary erasure channel"
    - "a proof of threshold saturation for spatially coupled ldpc codes on bms channels"
    - "thresholds of spatially coupled systems via lyapunov s method"
    - "spatial coupling as a proof technique"
    - "a simple proof of threshold saturation for coupled scalar recursions"

Connected through hyperedge HE-8 (induced by source paper "multilevel coding schemes for compute and forward with flexible decoding"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network"
    - "wireless network information flow a deterministic approach"
    - "reliable physical layer network coding"
    - "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"
    - "spatially coupled codes over the multiple access channel"

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)