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: "incremental relaying for the gaussian interference channel with a degraded broadcasting relay"
  Abstract: This paper studies incremental relay strategies for a two-user Gaussian relay-interference channel with an in-band-reception and out-of-band-transmission relay, where the link between the relay and the two receivers is modelled as a degraded broadcast channel. It is shown that generalized hash-and-forward (GHF) can achieve the capacity region of this channel to within a constant number of bits in a certain weak relay regime, where the transmitter-to-relay link gains are not unboundedly stronger than the interference links between the transmitters and the receivers. The GHF relaying strategy is ideally suited for the broadcasting relay because it can be implemented in an incremental fashion, i.e., the relay message to one receiver is a degraded version of the message to the other receiver. A generalized-degree-of-freedom (GDoF) analysis in the high signal-to-noise ratio (SNR) regime reveals that in the symmetric channel setting, each common relay bit can improve the sum rate roughly by either one bit or two bits asymptotically depending on the operating regime, and the rate gain can be interpreted as coming solely from the improvement of the common message rates, or alternatively in the very weak interference regime as solely coming from the rate improvement of the private messages. Further, this paper studies an asymmetric case in which the relay has only a single single link to one of the destinations. It is shown that with only one relay-destination link, the approximate capacity region can be established for a larger regime of channel parameters. Further, from a GDoF point of view, the sum-capacity gain due to the relay can now be thought as coming from either signal relaying only, or interference forwarding only.

Connected through hyperedge HE-1 (induced by source paper "on cooperation and interference in the weak interference regime full version with detailed proofs"):
  with members:
    - "cooperation for interference management a gdof perspective"
    - "diversity multiplexing tradeoff for the interference channel with a relay"
    - "the ergodic capacity of phase fading interference networks"
    - "capacity theorems for the fading interference channel with a relay and feedback links"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"
    - "an extremal inequality motivated by multiterminal information theoretic problems"

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"
    - "interference channels with source cooperation"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"
    - "interference channels with destination cooperation"

Connected through hyperedge HE-3 (induced by source paper "two birds and one stone gaussian interference channel with a shared out of band relay of limited rate"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"
    - "symmetric capacity of the gaussian interference channel with an out of band relay to within 1 15 bits"
    - "interference channel with an out of band relay"
    - "gaussian z interference channel with a relay link achievability region and asymptotic sum capacity"
    - "interference mitigation through limited receiver cooperation"
    - "interference relay channels part i transmission rates"
    - "the two user gaussian interference channel a deterministic view"

Connected through hyperedge HE-4 (induced by source paper "on compress forward without wyner ziv binning for relay networks"):
  with members:
    - "short message quantize forward network coding"
    - "compress forward without wyner ziv binning for the one way and two way relay channels"
    - "lecture notes on network information theory"

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)