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 capacity region of multiway relay channels over finite fields with full data exchange"):
  Abstract: The multiway relay channel is a multicast network where L users exchange data through a relay. In this paper, the capacity region of a class of multiway relay channels is derived, where the channel inputs and outputs take values over finite fields. The cut-set upper bound to the capacity region is derived and is shown to be achievable by our proposed functional-decode-forward coding strategy. More specifically, for the general case where the users can transmit at possibly different rates, functional-decode-forward, combined with rate splitting and joint source-channel decoding, is proved to achieve the capacity region; while for the case where all users transmit at a common rate, rate splitting and joint source-channel decoding are not required to achieve the capacity. That the capacity-achieving coding strategies do not utilize the users' received signals in the users' encoding functions implies that feedback does not increase the capacity region of this class of multiway relay channels.

Includes members:
  Member "nested lattice codes for gaussian relay networks with interference":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "generalized compute compress and forward")
  Member "an optimal coding strategy for the binary multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "maximizing data rate for multiway relay channels with pairwise transmission strategy")
  Member "the multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi agent reinforcement learning for energy harvesting two hop communications with full cooperation")
  Member "capacity theorems for the awgn multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation")
  Member "lossy broadcasting in two way relay networks with common reconstructions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the three user finite field multi way relay channel with correlated sources")
  Member "capacity region of the deterministic multi pair bi directional relay network":
    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 "broadcast capacity region of two phase bidirectional relaying":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the dof of two way 2 2 2 relay networks with or without relay caching")
  Member "approximate capacity of the two way relay channel a deterministic approach":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "state space adaptive nonlinear self interference cancellation for full duplex communication")

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)