human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the approximate capacity region of the gaussian y channel"):
  Abstract: A full-duplex wireless network with three users that want to establish full message-exchange via a relay is considered. Thus, the network known as the Y-channel has a total of 6 messages, 2 outgoing and 2 incoming at each user. The users are not physically connected, and thus the relay is essential for their communication. The linear-shift deterministic Y-channel is considered first, its capacity region is characterized and shown not to be given by the cut-set bounds. The capacity achieving scheme has three different components (strategies): a bi-directional, a cyclic, and a uni-directional strategy. Network coding is used to realize the bi-directional and the cyclic strategies, and thus to prove the achievability of the capacity region. The result is then extended to the Gaussian Y-channel where the capacity region is characterized within a constant gap independent of the channel parameters.

Includes members:
  Member "degrees of freedom for the mimo multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency")
  Member "the deterministic multicast capacity of 4 node relay networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the capacity region of the deterministic y channel with common and private messages")
  Member "the degrees of freedom of the mimo y channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal dof region for the asymmetric two pair mimo two way relay channel")
  Member "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency")
  Member "signal space alignment for the gaussian y channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation")
  Member "the capacity region of the linear shift deterministic y channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the capacity region of the deterministic y channel with common and private messages")
  Member "on the sum capacity of the y channel":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "space time physical layer network coding")
  Member "the multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi agent reinforcement learning for energy harvesting two hop communications with full cooperation")

Question: Please tell me which class the source paper 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)