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: "a multi engine approach to answer set programming"
  Abstract: Answer-set programming (ASP) is a truly declarative programming paradigm proposed in the area of non-monotonic reasoning and logic programming, which has been recently employed in many applications. The development of efficient ASP systems is, thus, crucial. Having in mind the task of improving the solving methods for ASP, there are two usual ways to reach this goal: (i) extending state-of-the-art techniques and ASP solvers or (ii) designing a new ASP solver from scratch. An alternative to these trends is to build on top of state-of-the-art solvers, and to apply machine learning techniques for choosing automatically the “best” available solver on a per-instance basis.  In this paper, we pursue this latter direction. We first define a set of cheap-to-compute syntactic features that characterize several aspects of ASP programs. Then, we apply classification methods that, given the features of the instances in a  training  set and the solvers' performance on these instances, inductively learn algorithm selection strategies to be applied to a  test  set. We report the results of a number of experiments considering solvers and different training and test sets of instances taken from the ones submitted to the “System Track” of the Third ASP Competition. Our analysis shows that by applying machine learning techniques to ASP solving, it is possible to obtain very robust performance: our approach can solve more instances compared with any solver that entered the Third ASP Competition.

Connected through hyperedge HE-1 (induced by source paper "the seventh answer set programming competition design and results"):
  with members:
    - "efficiently coupling the i dlv grounder with asp solvers"
    - "optimizing answer set computation via heuristic based decomposition"
    - "on the computation of paracoherent answer sets"
    - "casp solutions for planning in hybrid domains"
    - "stable unstable semantics beyond np with normal logic programs"
    - "asperix a first order forward chaining approach for answer set computing"
    - "optimizing phylogenetic supertrees using answer set programming"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"

Connected through hyperedge HE-2 (induced by source paper "efficiently coupling the i dlv grounder with asp solvers"):
  with members:
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "asperix a first order forward chaining approach for answer set computing"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "team building with answer set programming in the gioia tauro seaport"
    - "satzilla portfolio based algorithm selection for sat"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-3 (induced by source paper "a logic based framework leveraging neural networks for studying the evolution of neurological disorders"):
  with members:
    - "the seventh answer set programming competition design and results"
    - "the external interface for extending wasp"
    - "asp core 2 input language format"
    - "a comprehensive survey on graph neural networks"
    - "interpreting cnns via decision trees"
    - "constraint answer set programming without grounding"
    - "automated verification of neural networks advances challenges and perspectives"
    - "visual interpretability for deep learning a survey"

Connected through hyperedge HE-4 (induced by source paper "encoding selection for solving hamiltonian cycle problems with asp"):
  with members:
    - "automated algorithm selection survey and perspectives"
    - "lpopt a rule optimization tool for answer set programming"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "satzilla portfolio based algorithm selection for sat"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-5 (induced by source paper "design and results of the second international competition on computational models of argumentation"):
  with members:
    - "model enumeration in propositional circumscription via unsatisfiable core analysis"
    - "system descriptions of the first international competition on computational models of argumentation iccma 15"
    - "improved answer set programming encodings for abstract argumentation"
    - "clingo asp control preliminary report"

Connected through hyperedge HE-6 (induced by source paper "research report on automatic synthesis of local search neighborhood operators"):
  with members:
    - "generating local search neighborhood with synthesized logic programs"
    - "claspfolio 2 advances in algorithm selection for answer set programming"

Connected through hyperedge HE-7 (induced by source paper "the algorithm selection competitions 2015 and 2017"):
  with members:
    - "aslib a benchmark library for algorithm selection"
    - "openml networked science in machine learning"
    - "sunny a lazy portfolio approach for constraint solving"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "proteus a hierarchical portfolio of solvers and transformations"
    - "a bayesian approach to tackling hard computational problems"
    - "llama leveraging learning to automatically manage algorithms"
    - "algorithm runtime prediction methods evaluation"

Connected through hyperedge HE-8 (induced by source paper "a case study of algorithm selection for the traveling thief problem"):
  with members:
    - "evolutionary computation for multicomponent problems opportunities and future directions"
    - "aslib a benchmark library for algorithm selection"
    - "packing while traveling mixed integer programming for a class of nonlinear knapsack problems"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "algorithm runtime prediction methods evaluation"
    - "algorithm selection for combinatorial search problems a survey"
    - "satzilla portfolio based algorithm selection for sat"

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)