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: "multiple multicasts with the help of a relay"
  Abstract: The problem of simultaneous multicasting of multiple messages with the help of a relay terminal is considered. In particular, a model is studied in which a relay station simultaneously assists two transmitters in multicasting their independent messages to two receivers. The relay may also have an independent message of its own to multicast. As a first step to address this general model, referred to as the compound multiple access channel with a relay (cMACr), the capacity region of the multiple access channel with a "cognitive" relay is characterized, including the cases of partial and rate-limited cognition. Then, achievable rate regions for the cMACr model are presented based on decode-and-forward (DF) and compress-and-forward (CF) relaying strategies. Moreover, an outer bound is derived for the special case, called the cMACr without cross-reception, in which each transmitter has a direct link to one of the receivers while the connection to the other receiver is enabled only through the relay terminal. The capacity region is characterized for a binary modulo additive cMACr without cross-reception, showing the optimality of binary linear block codes, thus highlighting the benefits of physical layer network coding and structured codes. Results are extended to the Gaussian channel model as well, providing achievable rate regions for DF and CF, as well as for a structured code design based on lattice codes. It is shown that the performance with lattice codes approaches the upper bound for increasing power, surpassing the rates achieved by the considered random coding-based techniques.

Connected through hyperedge HE-1 (induced by source paper "half duplex relaying for the multiuser channel"):
  with members:
    - "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"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"
    - "on the optimal compressions in the compress and forward relay schemes"
    - "noisy network coding"
    - "lecture notes on network information theory"
    - "capacity of a class of deterministic relay channels"

Connected through hyperedge HE-2 (induced by source paper "interference channel with an out of band relay"):
  with members:
    - "ergodic fading interference channels sum capacity and separability"
    - "the multi way relay channel"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "gaussian z interference channel with a relay link achievability region and asymptotic sum capacity"
    - "noisy network coding"
    - "the mimo wireless switch relaying can increase the multiplexing gain"
    - "noisy interference sum rate capacity of parallel gaussian interference channels"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"

Connected through hyperedge HE-3 (induced by source paper "the multi way relay channel"):
  with members:
    - "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"
    - "wyner ziv coding over broadcast channels digital schemes"
    - "broadcast capacity region of two phase bidirectional relaying"
    - "joint physical layer coding and network coding for bi directional relaying"
    - "the case for structured random codes in network capacity theorems"

Connected through hyperedge HE-4 (induced by source paper "relaying simultaneous multicast messages"):
  with members:
    - "wyner ziv coding over broadcast channels digital schemes"

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)