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: "decompositions of grammar constraints"
  Abstract: A wide range of constraints can be compactly specified using automata or formal languages. In a sequence of recent papers, we have shown that an effective means to reason with such specifications is to decompose them into primitive constraints. We can then, for instance, use state of the art SAT solvers and profit from their advanced features like fast unit propagation, clause learning, and conflict-based search heuristics. This approach holds promise for solving combinatorial problems in scheduling, rostering, and configuration, as well as problems in more diverse areas like bioinformatics, software testing and natural language processing. In addition, decomposition may be an effective method to propagate other global constraints.

Connected through hyperedge HE-1 (induced by source paper "xcsp3 an integrated format for benchmarking combinatorial constrained problems"):
  with members:
    - "short and long supports for constraint propagation"
    - "the seqbin constraint revisited"
    - "stochastic constraint programming"
    - "slide a useful special case of the cardpath constraint"
    - "finite domain bounds consistency revisited"
    - "the alldifferent constraint a survey"

Connected through hyperedge HE-2 (induced by source paper "circuit complexity and decompositions of global constraints"):
  with members:
    - "decompositions of all different global cardinality and related constraints"
    - "slide a useful special case of the cardpath constraint"
    - "the complexity of reasoning with global constraints"
    - "the weighted cfg constraint"
    - "a knowledge compilation map"

Connected through hyperedge HE-3 (induced by source paper "decompositions of all different global cardinality and related constraints"):
  with members:
    - "circuit complexity and decompositions of global constraints"
    - "slide a useful special case of the cardpath constraint"
    - "the weighted cfg constraint"

Connected through hyperedge HE-4 (induced by source paper "restricted global grammar constraints"):
  with members:
    - "the weighted cfg constraint"
    - "reformulating global grammar constraints"
    - "fast context free grammar parsing requires fast boolean matrix multiplication"

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)