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: "optimality and approximate optimality of source channel separation in networks"
  Abstract: We consider the source-channel separation architecture for lossy source coding in communication networks. It is shown that the separation approach is optimal in two general scenarios, and is approximately optimal in a third scenario. The two scenarios for which separation is optimal complement each other: the first is when the memoryless sources at source nodes are arbitrarily correlated, each of which is to be reconstructed at possibly multiple destinations within certain distortions, but the channels in this network are synchronized, orthogonal and memoryless point-to-point channels; the second is when the memoryless sources are mutually independent, each of which is to be reconstructed only at one destination within a certain distortion, but the channels are general, including multi-user channels such as multiple access, broadcast, interference and relay channels, possibly with feedback. The third scenario, for which we demonstrate approximate optimality of source-channel separation, generalizes the second scenario by allowing each source to be reconstructed at multiple destinations with different distortions. For this case, the loss from optimality by using the separation approach can be upper-bounded when a "difference" distortion measure is taken, and in the special case of quadratic distortion measure, this leads to universal constant bounds.

Connected through hyperedge HE-1 (induced by source paper "a new approach to lossy network compression of a tuple of correlated multivariate gaussian rvs"):
  with members:
    - "the lossy common information of correlated sources"

Connected through hyperedge HE-2 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback"):
  with members:
    - "on the ozarow leung scheme for the gaussian broadcast channel with feedback"
    - "interactive schemes for the awgn channel with noisy feedback"
    - "insufficiency of linear feedback schemes in gaussian broadcast channels with common message"
    - "mimo mac bc duality with linear feedback coding schemes"
    - "source channel coding theorems for the multiple access relay channel"
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "variations on a theme by schalkwijk and kailath"
    - "sending a bivariate gaussian source over a gaussian mac with feedback"

Connected through hyperedge HE-3 (induced by source paper "layered black box behavioral interconnection perspective and applications to the problem of communication with fidelity criteria part i i i d sources"):
  with members:
    - "a randomized covering packing duality between source coding and channel coding"
    - "information spectrum approach to the source channel separation theorem"
    - "communication over individual channels"
    - "coding into a source a direct inverse rate distortion theorem"

Connected through hyperedge HE-4 (induced by source paper "communicating correlated sources over mac and interference channels i separation based schemes"):
  with members:
    - "communicating correlated sources over an interference channel"
    - "broadcasting correlated vector gaussians"
    - "matched multiuser gaussian source channel communications via uncoded schemes"
    - "on joint source channel coding for correlated sources over multiple access relay channels"
    - "an achievable rate distortion region for the multiple descriptions problem"
    - "a new data processing inequality and its applications in distributed source and channel coding"
    - "interference channels with arbitrarily correlated sources"
    - "distributed joint source channel coding on a multiple access channel with side information"

Connected through hyperedge HE-5 (induced by source paper "a source channel separation theorem with application to the source broadcast problem"):
  with members:
    - "outer bounds on the admissible source region for broadcast channels with correlated sources"
    - "broadcasting correlated vector gaussians"
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"
    - "approximate characterizations for the gaussian source broadcast distortion region"
    - "broadcasting correlated gaussians"
    - "an extremal inequality motivated by multiterminal information theoretic problems"
    - "vector gaussian multiple description with individual and central receivers"

Connected through hyperedge HE-6 (induced by source paper "lossy coding of correlated sources over a multiple access channel necessary conditions and separation results"):
  with members:
    - "distortion bounds for transmitting correlated sources with common part over mac"
    - "a new data processing inequality and its applications in distributed source and channel coding"
    - "the gaussian mac with conferencing encoders"

Connected through hyperedge HE-7 (induced by source paper "source channel coding under energy delay and buffer constraints"):
  with members:
    - "energy harvesting broadband communication systems with processing energy cost"
    - "energy neutral source channel coding with battery and memory size constraints"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "throughput maximization for an energy harvesting communication system with processing cost"
    - "energy efficient sensing and communication of parallel gaussian sources"
    - "energy management policies for energy neutral source channel coding"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "a general framework for the optimization of energy harvesting communication systems with battery imperfections"

Connected through hyperedge HE-8 (induced by source paper "outer bounds on the admissible source region for broadcast channels with correlated sources"):
  with members:
    - "evaluation of marton s inner bound for the general broadcast channel"
    - "a note on outer bounds for broadcast channel"
    - "the capacity region of classes of product broadcast channels"
    - "evaluation of marton s inner bound for the general broadcast channel"
    - "correlated sources over broadcast channels"
    - "outer bounds on the admissible source region for broadcast channels with dependent sources"
    - "comments on broadcast channels with arbitrarily correlated sources"
    - "approximate characterizations for the gaussian source broadcast distortion region"

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)