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: "llama leveraging learning to automatically manage algorithms"
  Abstract: Algorithm portfolio and selection approaches have achieved remarkable improvements over single solvers. However, the implementation of such systems is often highly customised and specific to the problem domain. This makes it difficult for researchers to explore different techniques for their specific problems. We present LLAMA, a modular and extensible toolkit implemented as an R package that facilitates the exploration of a range of different portfolio techniques on any problem domain. It implements the algorithm selection approaches most commonly used in the literature and leverages the extensive library of machine learning algorithms and techniques in R. We describe the current capabilities and limitations of the toolkit and illustrate its usage on a set of example SAT problems.

Connected through hyperedge HE-1 (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"
    - "a multi engine approach to answer set programming"
    - "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"
    - "algorithm runtime prediction methods evaluation"

Connected through hyperedge HE-2 (induced by source paper "the algorithm selection competition series 2015 17"):
  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"
    - "auto weka combined selection and hyperparameter optimization of classification algorithms"

Connected through hyperedge HE-3 (induced by source paper "aslib a benchmark library for algorithm selection"):
  with members:
    - "openml networked science in machine learning"
    - "sunny a lazy portfolio approach for constraint solving"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "an enhanced features extractor for a portfolio of constraint solvers"
    - "proteus a hierarchical portfolio of solvers and transformations"
    - "algorithm runtime prediction methods evaluation"
    - "algorithm selection for combinatorial search problems a survey"
    - "auto weka combined selection and hyperparameter optimization of classification algorithms"

Connected through hyperedge HE-4 (induced by source paper "claspfolio 2 advances in algorithm selection for answer set programming"):
  with members:
    - "a multi engine approach to answer set programming"
    - "introduction to the 28th international conference on logic programming special issue"
    - "translating answer set programs into bit vector logic"
    - "satzilla portfolio based algorithm selection for sat"

Connected through hyperedge HE-5 (induced by source paper "proteus a hierarchical portfolio of solvers and transformations"):
  with members:
    - "symbiosis of search and heuristics for random 3 sat"
    - "algorithm selection for combinatorial search problems a survey"
    - "machine learning for constraint solver design a case study for the alldifferent constraint"
    - "xml representation of constraint networks format xcsp 2 1"
    - "restart strategy selection using machine learning techniques"
    - "satzilla portfolio based algorithm selection for sat"

Connected through hyperedge HE-6 (induced by source paper "an enhanced features extractor for a portfolio of constraint solvers"):
  with members:
    - "an empirical evaluation of portfolios approaches for solving csps"
    - "solving xcsp problems by using gecode"

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)