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: "the gaussian many help one distributed source coding problem"
  Abstract: Jointly Gaussian memoryless sources are observed at N distinct terminals. The goal is to efficiently encode the observations in a distributed fashion so as to enable reconstruction of any one of the observations, say the first one, at the decoder subject to a quadratic fidelity criterion. Our main result is a precise characterization of the rate-distortion region when the covariance matrix of the sources satisfies a "tree-structure" condition. In this situation, a natural analog-digital separation scheme optimally trades off the distributed quantization rate tuples and the distortion in the reconstruction: each encoder consists of a point-to-point Gaussian vector quantizer followed by a Slepian-Wolf binning encoder. We also provide a partial converse that suggests that the tree structure condition is fundamental.

Connected through hyperedge HE-1 (induced by source paper "remote source coding under gaussian noise dueling roles of power and entropy power"):
  with members:
    - "multiterminal source coding under logarithmic loss"
    - "successive wyner ziv coding scheme and its application to the quadratic gaussian ceo problem"

Connected through hyperedge HE-2 (induced by source paper "a classification of functions in multiterminal distributed computing"):
  with members:
    - "on distributed computing for functions with certain structures"
    - "distributed function computation over a rooted directed tree"
    - "optimal function computation in directed and undirected graphs"
    - "many help one problem for gaussian sources with a tree structure on their correlation"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-3 (induced by source paper "the sum rate of vector gaussian multiple description coding with tree structured covariance distortion constraints"):
  with members:
    - "combinatorial message sharing and a new achievable region for multiple descriptions"
    - "approximating the gaussian multiple description rate region under symmetric distortion constraints"
    - "vector gaussian multiple description with individual and central receivers"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-4 (induced by source paper "zero delay sequential transmission of markov sources over burst erasure channels"):
  with members:
    - "erasure coding for real time streaming"
    - "streaming codes for channels with burst and isolated erasures"

Connected through hyperedge HE-5 (induced by source paper "secure multiterminal source coding with side information at the eavesdropper"):
  with members:
    - "rate distortion with side information at many decoders"
    - "information theoretic proofs of entropy power inequalities"
    - "achieving the secrecy capacity of wiretap channels using polar codes"
    - "rate region of the gaussian scalar help vector source coding problem"
    - "secure lossy source coding with side information at the decoders"
    - "construction of wiretap codes from ordinary channel codes"
    - "lecture notes on network information theory"
    - "secure source coding with a helper"

Connected through hyperedge HE-6 (induced by source paper "integer forcing source coding"):
  with members:
    - "optimized backhaul compression for uplink cloud radio access network"
    - "successive integer forcing and its sum rate optimality"
    - "precoded integer forcing universally achieves the mimo capacity to within a constant gap"
    - "a technique for deriving one shot achievability results in network information theory"
    - "an algebraic approach to physical layer network coding"
    - "coding and system design for quantize map and forward relaying"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "compute and forward strategies for cooperative distributed antenna systems"

Connected through hyperedge HE-7 (induced by source paper "rate region of the vector gaussian one helper source coding problem"):
  with members:
    - "rate region of the gaussian scalar help vector source coding problem"
    - "lattices for distributed source coding jointly gaussian sources and reconstruction of a linear function"
    - "an extremal inequality motivated by multiterminal information theoretic problems"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-8 (induced by source paper "optimality of binning for distributed hypothesis testing"):
  with members:
    - "reliability in source coding with side information"
    - "improved source coding exponents via witsenhausen s rate"
    - "rate region of the quadratic gaussian two encoder source coding problem"

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)