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: "noisy network coding"
  Abstract: A noisy network coding scheme for sending multiple sources over a general noisy network is presented. For multi-source multicast networks, the scheme naturally extends both network coding over noiseless networks by Ahlswede, Cai, Li, and Yeung, and compress-forward coding for the relay channel by Cover and El Gamal to general discrete memoryless and Gaussian networks. The scheme also recovers as special cases the results on coding for wireless relay networks and deterministic networks by Avestimehr, Diggavi, and Tse, and coding for wireless erasure networks by Dana, Gowaikar, Palanki, Hassibi, and Effros. The scheme involves message repetition coding, relay signal compression, and simultaneous decoding. Unlike previous compress--forward schemes, where independent messages are sent over multiple blocks, the same message is sent multiple times using independent codebooks as in the network coding scheme for cyclic networks. Furthermore, the relays do not use Wyner--Ziv binning as in previous compress-forward schemes, and each decoder performs simultaneous joint typicality decoding on the received signals from all the blocks without explicitly decoding the compression indices. A consequence of this new scheme is that achievability is proved simply and more generally without resorting to time expansion to extend results for acyclic networks to networks with cycles. The noisy network coding scheme is then extended to general multi-source networks by combining it with decoding techniques for interference channels. For the Gaussian multicast network, noisy network coding improves the previously established gap to the cutset bound. We also demonstrate through two popular AWGN network examples that noisy network coding can outperform conventional compress-forward, amplify-forward, and hash-forward schemes.

Connected through hyperedge HE-1 (induced by source paper "an information theoretic analysis of the gaussian multicast channel with interactive user cooperation"):
  with members:
    - "enhancing multiuser mimo through opportunistic d2d cooperation"
    - "on the achievable rates of multihop virtual full duplex relay channels"
    - "noisy network coding with partial df"
    - "a survey on device to device communication in cellular networks"
    - "massive mimo multicasting in noncooperative cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "modeling analysis and optimization of multicast device to device transmissions"
    - "short message noisy network coding with rate splitting"

Connected through hyperedge HE-2 (induced by source paper "a stochastic geometry based approach to modeling interference correlation in cooperative relay networks"):
  with members:
    - "managing interference correlation through random medium access"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "diversity loss due to interference correlation"
    - "a tractable approach to coverage and rate in cellular networks"
    - "spatial and temporal correlation of the interference in aloha ad hoc networks"
    - "compute and forward harnessing interference through structured codes"
    - "analysis of uncoordinated opportunistic two hop wireless ad hoc systems"

Connected through hyperedge HE-3 (induced by source paper "partial decode forward relaying for the gaussian two hop relay network"):
  with members:
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "wireless network information flow a deterministic approach"
    - "slepian wolf coding over cooperative relay networks"
    - "wireless network simplification the gaussian n relay diamond network"

Connected through hyperedge HE-4 (induced by source paper "half duplex relaying for the multiuser channel"):
  with members:
    - "two birds and one stone gaussian interference channel with a shared out of band relay of limited rate"
    - "wireless network information flow a deterministic approach"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"
    - "on the optimal compressions in the compress and forward relay schemes"
    - "lecture notes on network information theory"
    - "multiple multicasts with the help of a relay"
    - "capacity of a class of deterministic relay channels"

Connected through hyperedge HE-5 (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"
    - "capacity theorems for the awgn multi way relay channel"

Connected through hyperedge HE-6 (induced by source paper "short message noisy network coding with a decode forward option"):
  with members:
    - "compress and forward scheme for relay networks backword decoding and connection to bisubmodular flows"
    - "mixed noisy network coding and cooperative unicasting in wireless networks"
    - "a unified relay framework with both d f and c f relay nodes"
    - "wireless network information flow a deterministic approach"
    - "on compress forward without wyner ziv binning for relay networks"
    - "short message quantize forward network coding"
    - "slepian wolf coding over cooperative relay networks"
    - "on the optimal compressions in the compress and forward relay schemes"

Connected through hyperedge HE-7 (induced by source paper "multiple access channels with states causally known at transmitters"):
  with members:
    - "a note on multiple access channels with strictly causal state information"
    - "short message quantize forward network coding"
    - "message and state cooperation in multiple access channels"
    - "lecture notes on network information theory"
    - "lattice strategies for the dirty multiple access channel"
    - "multiaccess channels with state known to some encoders and independent messages"

Connected through hyperedge HE-8 (induced by source paper "a new achievable scheme for interference relay channels"):
  with members:
    - "capacity of a class of modulo sum relay channels"

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)