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 power of non ground rules in answer set programming"
  Abstract: Answer set programming (ASP) is a well-established logic programming language that offers an intuitive, declarative syntax for problem solving. In its traditional application, a fixed ASP program for a given problem is designed and the actual instance of the problem is fed into the program as a set of facts. This approach typically results in programs with comparably short and simple rules. However, as is known from complexity analysis, such an approach limits the expressive power of ASP; in fact, an entire NP-check can be encoded into a single large rule body of bounded arity that performs both a guess and a check within the same rule. #R##N#Here, we propose a novel paradigm for encoding hard problems in ASP by making explicit use of large rules which depend on the actual instance of the problem. We illustrate how this new encoding paradigm can be used, providing examples of problems from the first, second, and even third level of the polynomial hierarchy. As state-of-the-art solvers are tuned towards short rules, rule decomposition is a key technique in the practical realization of our approach. We also provide some preliminary benchmarks which indicate that giving up the convenient way of specifying a fixed program can lead to a significant speed-up. #R##N#This paper is under consideration for acceptance into TPLP.

Connected through hyperedge HE-1 (induced by source paper "structural decompositions of epistemic logic programs"):
  with members:
    - "epistemic logic programs a different world view"
    - "treewidth and counting projected answer sets"
    - "te eth lower bounds for qbfs of bounded treewidth"
    - "splitting epistemic logic programs"
    - "answer set solving with bounded treewidth revisited"
    - "combining treewidth and backdoors for csp"
    - "clique width and directed width measures for answer set programming"
    - "backdoors to tractable answer set programming"

Connected through hyperedge HE-2 (induced by source paper "selp a single shot epistemic logic program solver"):
  with members:
    - "a survey of advances in epistemic logic program solvers"
    - "multi shot asp solving with clingo"
    - "a parallel memory efficient epistemic logic program solver harder better faster"
    - "lpopt a rule optimization tool for answer set programming"
    - "clingo asp control preliminary report"
    - "revisiting epistemic specifications"
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-3 (induced by source paper "solving advanced argumentation problems with answer set programming"):
  with members:
    - "depqbf 6 0 a search based qbf solver beyond traditional qcdcl"
    - "stable unstable semantics beyond np with normal logic programs"
    - "lpopt a rule optimization tool for answer set programming"
    - "extension based semantics of abstract dialectical frameworks"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-4 (induced by source paper "optimizing answer set computation via heuristic based decomposition"):
  with members:
    - "lpopt a rule optimization tool for answer set programming"
    - "asperix a first order forward chaining approach for answer set computing"
    - "clingo asp control preliminary report"
    - "parallel instantiation of asp programs techniques and experiments"
    - "the dlv system for knowledge representation and reasoning"
    - "unfolding partiality and disjunctions in stable model semantics"

Connected through hyperedge HE-5 (induced by source paper "a survey of advances in epistemic logic program solvers"):
  with members:
    - "multi shot asp solving with clingo"

Connected through hyperedge HE-6 (induced by source paper "constraints lazy constraints or propagators in asp solving an empirical analysis"):
  with members:
    - "constraint answer set solver ezcsp and why integration schemas matter"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "a model building framework for answer set programming with external computations"
    - "modeling variations of first order horn abduction in answer set programming"
    - "the dlvhex system for knowledge representation recent advances system description"
    - "optimizing phylogenetic supertrees using answer set programming"
    - "generating explanations for biomedical queries"
    - "lazy model expansion interleaving grounding with search"

Connected through hyperedge HE-7 (induced by source paper "lpopt a rule optimization tool for answer set programming"):
  with members:
    - "stable models and an alternative logic programming paradigm"

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)