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: "on the non robustness of essentially conditional information inequalities"
  Abstract: We show that two essentially conditional linear inequalities for Shannon's entropies (including the Zhang-Yeung'97 conditional inequality) do not hold for asymptotically entropic points. This means that these inequalities are non-robust in a very strong sense. This result raises the question of the meaning of these inequalities and the validity of their use in practice-oriented applications.

Connected through hyperedge HE-1 (induced by source paper "partition symmetrical entropy functions"):
  with members:
    - "conditional information inequalities for entropic and almost entropic points"
    - "entropy functions and determinant inequalities"
    - "on essentially conditional information inequalities"
    - "non shannon information inequalities in four random variables"
    - "average entropy functions"
    - "information rates of minimal non matroid related access structures"
    - "a projection method for derivation of non shannon type information inequalities"
    - "dualities between entropy functions and network codes"

Connected through hyperedge HE-2 (induced by source paper "entropy region and convolution"):
  with members:
    - "equivalence of two proof techniques for non shannon type inequalities"
    - "conditional information inequalities for entropic and almost entropic points"
    - "on the ingleton violations in finite groups"
    - "on essentially conditional information inequalities"
    - "non shannon information inequalities in four random variables"
    - "graph theoretical constructions for graph entropy and network coding based communications"

Connected through hyperedge HE-3 (induced by source paper "conditional information inequalities for entropic and almost entropic points"):
  with members:
    - "conditional and unconditional information inequalities an algebraic example"
    - "on essentially conditional information inequalities"
    - "improved upper bounds for the information rates of the secret sharing schemes induced by the vamos matroid"

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)