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 minimal set of ingleton inequalities"
  Abstract: The Ingleton-LP bound is an outer bound for the multicast capacity region, assuming the use of linear network codes. Computation of the bound is performed on a polyhedral cone obtained by taking the intersection of half-spaces induced by the basic (Shannon-type) inequalities and Ingleton inequalities. This paper simplifies the characterization of this cone, by obtaining the unique minimal set of Ingleton inequalities. As a result, the effort required for computation of the Ingleton-LP bound can be greatly reduced.

Connected through hyperedge HE-1 (induced by source paper "cut set bounds on network information flow"):
  with members:
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "network coding capacity a functional dependence bound"
    - "dualities between entropy functions and network codes"
    - "network information flow with correlated sources"

Connected through hyperedge HE-2 (induced by source paper "entropy functions and determinant inequalities"):
  with members:
    - "linear rank inequalities on five or more variables"

Connected through hyperedge HE-3 (induced by source paper "linear rank inequalities on five or more variables"):
  with members:
    - "existence of new inequalities for representable polymatroids"
    - "group characterizable entropy functions"
    - "conditionally independent random variables"

Connected through hyperedge HE-4 (induced by source paper "network coding capacity a functional dependence bound"):
  with members:
    - "dualities between entropy functions and network codes"

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)