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: "capacity theorems for the awgn multi way relay channel"
  Abstract: The L-user additive white Gaussian noise multi-way relay channel is considered, where multiple users exchange information through a single relay at a common rate. Existing coding strategies, i.e., complete-decode-forward and compress-forward are shown to be bounded away from the cut-set upper bound at high signal-to-noise ratios (SNR). It is known that the gap between the compress-forward rate and the capacity upper bound is a constant at high SNR, and that between the complete-decode-forward rate and the upper bound increases with SNR at high SNR. In this paper, a functional-decode-forward coding strategy is proposed. It is shown that for L ≥ 3, complete-decode-forward achieves the capacity when SNR ≤ 0 dB, and functional-decode-forward achieves the capacity when SNR ≥ 0 dB. For L = 2, functional-decode-forward achieves the capacity asymptotically as SNR increases.

Connected through hyperedge HE-1 (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation"):
  with members:
    - "device relaying in cellular d2d networks a fairness perspective"
    - "a survey on device to device communication in cellular networks"
    - "mimo multiway relaying with pairwise data exchange a degrees of freedom perspective"
    - "the degrees of freedom of multi way device to device communications is limited by 2"
    - "approximate sum capacity of the y channel"
    - "degrees of freedom for the mimo multi way relay channel"
    - "the deterministic multicast capacity of 4 node relay networks"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-2 (induced by source paper "resource allocation for energy efficient 3 way relay channels"):
  with members:
    - "spectral and energy efficiency in 3 way relay channels with circular message exchanges"
    - "energy efficiency optimization in relay assisted mimo systems with perfect and statistical csi"
    - "scalar quantize and forward for symmetric half duplex two way relay channels"
    - "the capacity region of multiway relay channels over finite fields with full data exchange"
    - "framework for link level energy efficiency optimization with informed transmitter"

Connected through hyperedge HE-3 (induced by source paper "spectral and energy efficiency in 3 way relay channels with circular message exchanges"):
  with members:
    - "energy efficiency optimization in relay assisted mimo systems with perfect and statistical csi"
    - "approximate sum capacity of the y channel"
    - "the approximate capacity region of the gaussian y channel"
    - "framework for link level energy efficiency optimization with informed transmitter"
    - "the multi way relay channel"
    - "noisy network coding"

Connected through hyperedge HE-4 (induced by source paper "rateless codes for the multi way relay channel"):
  with members:
    - "an optimal coding strategy for the binary multi way relay channel"
    - "the multi way relay channel"

Connected through hyperedge HE-5 (induced by source paper "the approximate capacity region of the gaussian y channel"):
  with members:
    - "degrees of freedom for the mimo multi way relay channel"
    - "the deterministic multicast capacity of 4 node relay networks"
    - "the degrees of freedom of the mimo y channel"
    - "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network"
    - "signal space alignment for the gaussian y channel"
    - "the capacity region of the linear shift deterministic y channel"
    - "on the sum capacity of the y channel"
    - "the multi way relay channel"

Connected through hyperedge HE-6 (induced by source paper "the three user finite field multi way relay channel with correlated sources"):
  with members:
    - "multi way relay networks orthogonal uplink source channel separation and code design"
    - "gaussian two way relay channel with private information for the relay"
    - "on the equal rate capacity of the awgn multiway relay channel"
    - "the capacity region of the restricted two way relay channel with any deterministic uplink"
    - "the capacity region of multiway relay channels over finite fields with full data exchange"
    - "an optimal coding strategy for the binary multi way relay channel"
    - "when is a function securely computable"
    - "lossy broadcasting in two way relay networks with common reconstructions"

Connected through hyperedge HE-7 (induced by source paper "the degrees of freedom of the mimo y channel"):
  with members:
    - "lattice coding for the two way two relay channel"
    - "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network"
    - "on the sum capacity of the y channel"
    - "the multi way relay channel"
    - "bidirectional multi pair network with a mimo relay beamforming strategies and lack of duality"
    - "capacity of the gaussian two way relay channel to within 1 2 bit"
    - "broadcast capacity region of two phase bidirectional relaying"

Connected through hyperedge HE-8 (induced by source paper "low latency data sharing in erasure multi way relay channels"):
  with members:
    - "on modulo sum computation over an erasure multiple access channel"
    - "joint compute and forward for the two way relay channel with spatially coupled ldpc codes"
    - "an optimal coding strategy for the binary multi way relay channel"
    - "the multi way relay channel"
    - "intermediate performance of rateless codes"

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)