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: "cooperative relaying with state available at the relay"
  Abstract: We consider a state-dependent full-duplex relay channel with the state of the channel non-causally available at only the relay. In the framework of cooperative wireless networks, some specific terminals can be equipped with cognition capabilities, i.e, the relay in our model. In the discrete memoryless (DM) case, we derive lower and upper bounds on channel capacity. The lower bound is obtained by a coding scheme at the relay that consists in a combination of codeword splitting, Gelpsilafand-Pinsker binning, and a decode-and-forward scheme. The upper bound is better than that obtained by assuming the availability of state at the source, the relay, and the destination. For the Gaussian case, we also derive lower and upper bounds on channel capacity. The lower bound, obtained by a coding scheme based on combination of codeword splitting and generalized dirty paper coding, is tight in some cases if the channel is physically degraded. The upper bound is also better than that obtained by assuming that the channel state is available at the source, the relay, and the destination.

Connected through hyperedge HE-1 (induced by source paper "on cooperative multiple access channels with delayed csi at transmitters"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "multiple access channels with states causally known at transmitters"
    - "secure degrees of freedom of mimo x channels with output feedback and delayed csit"
    - "estimation with a helper who knows the interference"
    - "wyner ziv type versus noisy network coding for a state dependent mac"
    - "on achievable degrees of freedom for mimo x channels"
    - "wireless network information flow a deterministic approach"
    - "the state dependent semideterministic broadcast channel"

Connected through hyperedge HE-2 (induced by source paper "capacity region of multiple access channel with states known noncausally at one encoder and only strictly causally at the other encoder"):
  with members:
    - "multiple access channels with states causally known at transmitters"
    - "a note on multiple access channels with strictly causal state information"
    - "multiple access channel with states known noncausally at one encoder and only strictly causally at the other encoder"
    - "on the capacity of memoryless finite state multiple access channels with asymmetric state information at the encoders"
    - "the state dependent multiple access channel with states available at a cribbing encoder"
    - "on the optimal compressions in the compress and forward relay schemes"
    - "lecture notes on network information theory"
    - "lattice strategies for the dirty multiple access channel"

Connected through hyperedge HE-3 (induced by source paper "multiaccess channels with state known to one encoder another case of degraded message sets"):
  with members:
    - "lattice strategies for the dirty multiple access channel"
    - "rate regions for the partially cooperative relay broadcast channel with non causal side information"
    - "on the capacity of interference channels with one cooperating transmitter"
    - "multiaccess channels with state known to some encoders and independent messages"

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)