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: "slepian wolf coding over cooperative relay networks"
  Abstract: This paper deals with the problem of multicasting a set of discrete memoryless correlated sources (DMCS) over a cooperative relay network. Necessary conditions with cut-set interpretation are presented. A Joint source-Wyner-Ziv encoding/sliding window decoding scheme is proposed, in which decoding at each receiver is done with respect to an ordered partition of other nodes. For each ordered partition a set of feasibility constraints is derived. Then, utilizing the submodular property of the entropy function and a novel geometrical approach, the results of different ordered partitions are consolidated, which lead to sufficient conditions for our problem. The proposed scheme achieves operational separation between source coding and channel coding. It is shown that sufficient conditions are indeed necessary conditions in two special cooperative networks, namely, Aref network and finite-field deterministic network. Also, in Gaussian cooperative networks, it is shown that reliable transmission of all DMCS whose Slepian-Wolf region intersects the cut-set bound region within a constant number of bits, is feasible. In particular, all results of the paper are specialized to obtain an achievable rate region for cooperative relay networks which includes relay networks and two-way relay networks.

Connected through hyperedge HE-1 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding"):
  with members:
    - "homologous codes for multiple access channels"
    - "gaussian multiple access via compute and forward"
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "equivalence of additive combinatorial linear inequalities for shannon entropy and differential entropy"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "secure compute and forward in a bidirectional relay"
    - "distributed decode forward for relay networks"

Connected through hyperedge HE-2 (induced by source paper "on the optimal fronthaul compression and decoding strategies for uplink cloud radio access networks"):
  with members:
    - "fronthaul compression and transmit beamforming optimization for multi antenna uplink c ran"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "short message noisy network coding with a decode forward option"
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
    - "an outer bound for the vector gaussian ceo problem"
    - "robust and efficient distributed compression for cloud radio access networks"
    - "wireless network information flow a deterministic approach"

Connected through hyperedge HE-3 (induced by source paper "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"):
  with members:
    - "on the reliability function of the discrete memoryless relay channel"
    - "renyi divergence and kullback leibler divergence"
    - "wireless network information flow a deterministic approach"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-4 (induced by source paper "cut set bounds for multimessage multicast networks with independent channels and zero delay edges"):
  with members:
    - "classes of delay independent multimessage multicast networks with zero delay nodes"

Connected through hyperedge HE-5 (induced by source paper "distributed decode forward for relay networks"):
  with members:
    - "partial decode forward relaying for the gaussian two hop relay network"
    - "noisy network coding with partial df"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "index coding capacity how far can one go with only shannon inequalities"
    - "short message noisy network coding with a decode forward option"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"

Connected through hyperedge HE-6 (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"
    - "wireless network simplification the gaussian n relay diamond network"
    - "noisy network coding"

Connected through hyperedge HE-7 (induced by source paper "coding schemes for discrete memoryless multicast networks with rate limited feedback"):
  with members:
    - "partial decode forward relaying for the gaussian two hop relay network"
    - "short message noisy network coding with a decode forward option"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "amplify and forward in wireless relay networks"

Connected through hyperedge HE-8 (induced by source paper "noisy network coding with partial df"):
  with members:
    - "a unified approach for network information theory"
    - "short message noisy network coding with a decode forward option"
    - "wireless network information flow a deterministic approach"

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)