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: "vector gaussian multiple description with individual and central receivers"
  Abstract: L multiple descriptions of a vector Gaussian source for individual and central receivers are investigated. The sum rate of the descriptions with covariance distortion measure constraints, in a positive semidefinite ordering, is exactly characterized. For two descriptions, the entire rate region is characterized. Jointly Gaussian descriptions are optimal in achieving the limiting rates. The key component of the solution is a novel information-theoretic inequality that is used to lower bound the achievable multiple description rates.

Connected through hyperedge HE-1 (induced by source paper "vector gaussian successive refinement with degraded side information"):
  with members:
    - "the sum rate of vector gaussian multiple description coding with tree structured covariance distortion constraints"
    - "vector gaussian rate distortion with variable side information"
    - "broadcasting correlated vector gaussians"
    - "new results on multiple input multiple output broadcast channels with confidential messages"
    - "private broadcasting over independent parallel channels"
    - "information theoretic proofs of entropy power inequalities"
    - "secure lossy transmission of vector gaussian sources"
    - "capacity equivocation region of the gaussian mimo wiretap channel"

Connected through hyperedge HE-2 (induced by source paper "robust distributed compression of symmetrically correlated gaussian sources"):
  with members:
    - "generalized gaussian multiterminal source coding the symmetric case"
    - "the sum rate of vector gaussian multiple description coding with tree structured covariance distortion constraints"
    - "successive wyner ziv coding scheme and its application to the quadratic gaussian ceo problem"
    - "multiuser successive refinement and multiple description coding"
    - "multiple description quantization via gram schmidt orthogonalization"
    - "robust distributed source coding"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-3 (induced by source paper "lattice based robust distributed source coding"):
  with members:
    - "lattice quantization with side information codes asymptotics and applications in sensor networks"
    - "robust distributed source coding"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-4 (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"
    - "optimality and approximate optimality of source channel separation in networks"
    - "approximate characterizations for the gaussian source broadcast distortion region"
    - "broadcasting correlated gaussians"
    - "an extremal inequality motivated by multiterminal information theoretic problems"

Connected through hyperedge HE-5 (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"
    - "the gaussian many help one distributed source coding problem"
    - "approximating the gaussian multiple description rate region under symmetric distortion constraints"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-6 (induced by source paper "source coding in networks with covariance distortion constraints"):
  with members:
    - "distributed remote vector gaussian source coding with covariance distortion constraints"
    - "an outer bound for the vector gaussian ceo problem"
    - "rate region of the vector gaussian one helper source coding problem"
    - "rate region of the gaussian scalar help vector source coding problem"

Connected through hyperedge HE-7 (induced by source paper "broadcasting correlated vector gaussians"):
  with members:
    - "a source channel separation theorem with application to the source broadcast problem"
    - "joint unitary triangularization for mimo networks"
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"
    - "hybrid coding for gaussian broadcast channels with gaussian sources"
    - "broadcasting correlated gaussians"

Connected through hyperedge HE-8 (induced by source paper "combinatorial message sharing and a new achievable region for multiple descriptions"):
  with members:
    - "an achievable rate distortion region for the multiple descriptions problem"
    - "on the role of common codewords in quadratic gaussian multiple descriptions coding"
    - "a strictly improved achievable region for multiple descriptions using combinatorial message sharing"
    - "asymmetric multilevel diversity coding and asymmetric gaussian multiple descriptions"
    - "approximating the gaussian multiple description rate region under symmetric distortion constraints"

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)