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: "redundancy in logic ii 2cnf and horn propositional formulae"
  Abstract: We report complexity results about redundancy of formulae in 2CNF form. We first consider the problem of checking redundancy and show some algorithms that are slightly better than the trivial one. We then analyze problems related to finding irredundant equivalent subsets (I.E.S.) of a given set. The concept of cyclicity proved to be relevant to the complexity of these problems. Some results about Horn formulae are also shown.

Connected through hyperedge HE-1 (induced by source paper "classification of minimally unsatisfiable 2 cnfs"):
  with members:
    - "on the computational complexity of read once resolution decidability in 2cnf formulas"
    - "on davis putnam reductions for minimally unsatisfiable clause sets"

Connected through hyperedge HE-2 (induced by source paper "sld resolution reduction of second order horn fragments technical report"):
  with members:
    - "logical rule induction and theory learning using neural theorem proving"
    - "exploiting answer set programming with external sources for meta interpretive learning"
    - "learning explanatory rules from noisy data"
    - "end to end differentiable proving"
    - "deep learning for ontology reasoning"
    - "minimization for generalized boolean formulas"
    - "redundancy deduction schemes and minimum size bases for association rules"
    - "redundancy deduction schemes and minimum size bases for association rules"

Connected through hyperedge HE-3 (induced by source paper "logical reduction of metarules"):
  with members:
    - "inductive general game playing"
    - "logical rule induction and theory learning using neural theorem proving"
    - "exploiting answer set programming with external sources for meta interpretive learning"
    - "learning explanatory rules from noisy data"
    - "minimization for generalized boolean formulas"
    - "redundancy in logic i cnf propositional formulae"

Connected through hyperedge HE-4 (induced by source paper "on forgetting in tractable propositional fragments"):
  with members:
    - "propositional independence formula variable independence and forgetting"

Connected through hyperedge HE-5 (induced by source paper "computing minimal sets on propositional formulae i problems reductions"):
  with members:
    - "discovering cyclic causal models with latent variables a general sat based procedure"
    - "automatic abstraction in smt based unbounded software model checking"
    - "cause clue clauses error localization using maximum satisfiability"
    - "redundancy in logic i cnf propositional formulae"
    - "propositional independence formula variable independence and forgetting"
    - "a knowledge compilation map"

Connected through hyperedge HE-6 (induced by source paper "generalizing redundancy in propositional logic foundations and hitting sets duality"):
  with members:
    - "redundancy in logic i cnf propositional formulae"

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.AI(Artificial Intelligence)