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: "a factor graph representation of probabilities in quantum mechanics"
  Abstract: A factor-graph representation of quantum-mechanical probabilities is proposed. Unlike standard statistical models, the proposed representation uses auxiliary variables (state variables) that are not random variables.

Connected through hyperedge HE-1 (induced by source paper "double edge factor graphs definition properties and examples"):
  with members:
    - "holographic transformation belief propagation and loop calculus for generalized probabilistic theories"
    - "factor graphs for quantum probabilities"
    - "the bethe permanent of a nonnegative matrix"
    - "counting in graph covers a combinatorial characterization of the bethe entropy function"
    - "the bethe partition function of log supermodular graphical models"

Connected through hyperedge HE-2 (induced by source paper "factor graphs for quantum probabilities"):
  with members:
    - "double edge factor graphs definition properties and examples"
    - "on sparsity by nuv em gaussian message passing and kalman smoothing"
    - "holographic transformation belief propagation and loop calculus for generalized probabilistic theories"
    - "the bethe permanent of a nonnegative matrix"
    - "normal factor graphs a diagrammatic approach to linear algebra"
    - "partition functions of normal factor graphs"
    - "monte carlo algorithms for the partition function and information rates of two dimensional channels"
    - "normal factor graphs and holographic transformations"

Connected through hyperedge HE-3 (induced by source paper "normal factor graphs as probabilistic models"):
  with members:
    - "extending factor graphs so as to unify directed and undirected graphical models"
    - "convolutional factor graphs as probabilistic models"
    - "cumulative distribution networks and the derivative sum product algorithm"
    - "partition functions of normal factor graphs"
    - "normal factor graphs and holographic transformations"
    - "inference with multivariate heavy tails in linear models"

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)