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: "coordination via a relay"
  Abstract: In this paper, we study the problem of coordinating two nodes which can only exchange information via a relay at limited rates. The nodes are allowed to do a two-round interactive two-way communication with the relay, after which they should be able to generate i.i.d. copies of two random variables with a given joint distribution within a vanishing total variation distance. We prove inner and outer bounds on the coordination capacity region for this problem. Our inner bound is proved using the technique of "output statistics of random binning" that has recently been developed by Yassaee, et al.

Connected through hyperedge HE-1 (induced by source paper "distributed source simulation with no communication"):
  with members:
    - "decidability of non interactive simulation of joint distributions"
    - "secure cascade channel synthesis"
    - "on non interactive simulation of joint distributions"
    - "a stronger soft covering lemma and applications"
    - "zero error coordination"
    - "exact common information"
    - "analysis of boolean functions"
    - "simulation of a channel with another channel"

Connected through hyperedge HE-2 (induced by source paper "joint coordination channel coding for strong coordination over noisy channels based on polar codes"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "strong coordination over noisy channels is separation sufficient"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "polar codes for broadcast channels"
    - "strong coordination over multi hop line networks"
    - "asymmetric error correction and flash memory rewriting using polar codes"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"

Connected through hyperedge HE-3 (induced by source paper "strong coordination over noisy channels is separation sufficient"):
  with members:
    - "strong coordination over multi hop line networks"
    - "when is it possible to simulate a dmc channel from another"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"
    - "hybrid codes needed for coordination over the point to point channel"
    - "generating dependent random variables over networks"

Connected through hyperedge HE-4 (induced by source paper "empirical and strong coordination via soft covering with polar codes"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "f divergence inequalities"
    - "covert communication over noisy channels a resolvability perspective"
    - "coordination in distributed networks via coded actions with application to power control"
    - "bounds among f divergences"
    - "semantic security capacity for wiretap channels of type ii"
    - "strong coordination over multi hop line networks"
    - "empirical coordination for joint source channel coding"

Connected through hyperedge HE-5 (induced by source paper "secure cascade channel synthesis"):
  with members:
    - "strong coordination over multi hop line networks"
    - "secrecy in cascade networks"
    - "the likelihood encoder for lossy source compression"
    - "strong coordination over a line network"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"
    - "achievability proof via output statistics of random binning"
    - "secure channel simulation"

Connected through hyperedge HE-6 (induced by source paper "coordination in distributed networks via coded actions with application to power control"):
  with members:
    - "a cross layer approach for distributed energy efficient power control in interference networks"
    - "coded power control performance analysis"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "strong coordination with polar codes"
    - "action dependent strictly causal state communication"
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-7 (induced by source paper "strong coordination over multi hop line networks"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "coordination in state dependent distributed networks the two agent case"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"

Connected through hyperedge HE-8 (induced by source paper "joint empirical coordination of source and channel"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "strong coordination over multi hop line networks"
    - "zero error coordination"
    - "empirical coordination with two sided state information and correlated source and state"

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)