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: "the approximate capacity of the gaussian n relay diamond network"
  Abstract: We consider the Gaussian “diamond” or parallel relay network, in which a source node transmits a message to a destination node with the help of N relays. Even for the symmetric setting, in which the channel gains to the relays are identical and the channel gains from the relays are identical, the capacity of this channel is unknown in general. The best known capacity approximation is up to an additive gap of order N bits and up to a multiplicative gap of order N2, with both gaps independent of the channel gains. In this paper, we approximate the capacity of the symmetric Gaussian N-relay diamond network up to an additive gap of 1.8 bits and up to a multiplicative gap of a factor 14. Both gaps are independent of the channel gains, and, unlike the best previously known result, are also independent of the number of relays N in the network. Achievability is based on bursty amplify-and-forward, showing that this simple scheme is uniformly approximately optimal, both in the low-rate as well as high-rate regimes. The upper bound on capacity is based on a careful evaluation of the cut-set bound.

Connected through hyperedge HE-1 (induced by source paper "generalized degrees of freedom of noncoherent diamond networks"):
  with members:
    - "generalized degrees freedom of noncoherent mimo with asymmetric links"
    - "capacity approximations for gaussian relay networks"
    - "cooperative relaying at finite snr role of quantize map and forward"
    - "wireless network information flow a deterministic approach"
    - "on noncoherent fading relay channels at high signal to noise ratio"
    - "wireless network simplification the gaussian n relay diamond network"
    - "approximately achieving gaussian relay network capacity with lattice codes"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"

Connected through hyperedge HE-2 (induced by source paper "energy efficiency gains of caching for interference channels"):
  with members:
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"
    - "degrees of freedom of cache aided wireless interference networks"
    - "cache aided interference channels"
    - "fundamental limits of caching"

Connected through hyperedge HE-3 (induced by source paper "on capacity of non coherent diamond networks"):
  with members:
    - "capacity approximations for gaussian relay networks"
    - "on noncoherent fading relay channels at high signal to noise ratio"
    - "wireless network simplification the gaussian n relay diamond network"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"

Connected through hyperedge HE-4 (induced by source paper "communicating over filter and forward relay networks with channel output feedback"):
  with members:
    - "capacity of all nine models of channel output feedback for the two user interference channel"
    - "a joint time invariant filtering approach to the linear gaussian relay problem"
    - "concatenated coding for the awgn channel with noisy feedback"
    - "feedback capacity of stationary gaussian channels"
    - "feedback capacity of the first order moving average gaussian channel"

Connected through hyperedge HE-5 (induced by source paper "upper bounds on the capacity of 2 layer n relay symmetric gaussian network"):
  with members:
    - "wireless network information flow a deterministic approach"

Connected through hyperedge HE-6 (induced by source paper "distributed decode forward for relay networks"):
  with members:
    - "partial decode forward relaying for the gaussian two hop relay network"
    - "noisy network coding with partial df"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "index coding capacity how far can one go with only shannon inequalities"
    - "short message noisy network coding with a decode forward option"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"

Connected through hyperedge HE-7 (induced by source paper "cut set bound is loose for gaussian relay networks"):
  with members:
    - "cover s open problem the capacity of the relay channel"
    - "improving on the cut set bound via geometric analysis of typical sets"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "improved capacity approximations for gaussian relay networks"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "a unified relay framework with both d f and c f relay nodes"
    - "wireless network information flow a deterministic approach"
    - "computation alignment capacity approximation without noise accumulation"

Connected through hyperedge HE-8 (induced by source paper "capacity bounds for diamond networks with an orthogonal broadcast channel"):
  with members:
    - "generalization of mrs gerber s lemma"
    - "capacity bounds for a class of diamond networks"
    - "a new entropy power inequality for integer valued random variables"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "the gaussian multiple access diamond channel"
    - "wireless network information flow a deterministic approach"
    - "entropy power inequality for a family of discrete random variables"
    - "dependence balance based outer bounds for gaussian networks with cooperation and feedback"

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)