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: "gaussian relay channel capacity to within a fixed number of bits"
  Abstract: In this paper, we show that the capacity of the three-node Gaussian relay channel can be achieved to within 1 and 2 bit/sec/Hz using compress-and-forward and amplify-and-forward relaying, respectively.

Connected through hyperedge HE-1 (induced by source paper "on the capacity of the half duplex mimo gaussian diamond channel"):
  with members:
    - "approximate capacity of the mimo relay channel"
    - "gaussian half duplex relay networks improved constant gap and connections with the assignment problem"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"

Connected through hyperedge HE-2 (induced by source paper "capacity bounds for a class of interference relay channels"):
  with members:
    - "new outer bounds for the interference channel with unilateral source cooperation"
    - "mixed noisy network coding and cooperative unicasting in wireless networks"
    - "a new achievable scheme for interference relay channels"
    - "two birds and one stone gaussian interference channel with a shared out of band relay of limited rate"
    - "wireless network information flow a deterministic approach"
    - "incremental relaying for the gaussian interference channel with a degraded broadcasting relay"
    - "interference channels with source cooperation"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"

Connected through hyperedge HE-3 (induced by source paper "approximate capacity of the mimo relay channel"):
  with members:
    - "distributed decode forward for relay networks"
    - "capacity approximations for gaussian relay networks"
    - "the optimal input distribution for partial decode and forward in the mimo relay channel"
    - "wireless network information flow a deterministic approach"
    - "transmit signal and bandwidth optimization in multiple antenna relay channels"
    - "slepian wolf coding over cooperative relay networks"
    - "rate bounds for mimo relay channels"

Connected through hyperedge HE-4 (induced by source paper "on noisy network coding for a gaussian relay chain network with correlated noises"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "gaussian z interference channel with a relay link achievability region and asymptotic sum capacity"
    - "noisy network coding"
    - "interference mitigation through limited receiver cooperation"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-5 (induced by source paper "capacity of the gaussian relay channel with correlated noises to within a constant gap"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "study of gaussian relay channels with correlated noises"

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)