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: "informational divergence and entropy rate on rooted trees with probabilities"
  Abstract: Rooted trees with probabilities are used to analyze properties of a variable length code. A bound is derived on the difference between the entropy rates of the code and a memoryless source. The bound is in terms of normalized informational divergence. The bound is used to derive converses for exact random number generation, resolution coding, and distribution matching.

Connected through hyperedge HE-1 (induced by source paper "rate constrained shaping codes for structured sources"):
  with members:
    - "divergence optimal fixed to fixed length distribution matching with shell mapping"
    - "performance of optimal data shaping codes"
    - "constant composition distribution matching"
    - "arithmetic distribution matching"
    - "how to achieve the capacity of asymmetric channels"
    - "fixed to variable length distribution matching"
    - "matching dyadic distributions to channels"

Connected through hyperedge HE-2 (induced by source paper "information rates and error exponents for probabilistic amplitude shaping"):
  with members:
    - "achievable rates for probabilistic shaping"
    - "comparison of geometric and probabilistic shaping with application to atsc 3 0"
    - "optimal quantization for distribution synthesis"
    - "on probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel"
    - "constant composition distribution matching"

Connected through hyperedge HE-3 (induced by source paper "comparing entropy rates on finite and infinite rooted trees with length functions"):
  with members:
    - "f divergence inequalities"
    - "on reverse pinsker inequalities"

Connected through hyperedge HE-4 (induced by source paper "constant composition distribution matching"):
  with members:
    - "optimal quantization for distribution synthesis"
    - "arithmetic distribution matching"
    - "how to achieve the capacity of asymmetric channels"
    - "block to block distribution matching"
    - "fixed to variable length distribution matching"
    - "operating ldpc codes with zero shaping gap"
    - "matching dyadic distributions to channels"

Connected through hyperedge HE-5 (induced by source paper "arithmetic distribution matching"):
  with members:
    - "probabilistic signal shaping for bit metric decoding"
    - "fixed to variable length distribution matching"
    - "matching dyadic distributions to channels"

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)