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: "symmetries of symmetry breaking constraints"
  Abstract: Symmetry is an important feature of many constraint programs. We show that any symmetry acting on a set of symmetry breaking constraints can be used to break symmetry. Different symmetries pick out different solutions in each symmetry class. We use these observations in two methods for eliminating symmetry from a problem. These methods are designed to have many of the advantages of symmetry breaking methods that post static symmetry breaking constraint without some of the disadvantages. In particular, the two methods prune the search space using fast and efficient propagation of posted constraints, whilst reducing the conflict between symmetry breaking and branching heuristics. Experimental results show that the two methods perform well on some standard benchmarks.

Connected through hyperedge HE-1 (induced by source paper "breaking symmetry with different orderings"):
  with members:
    - "on the complexity and completeness of static constraints for breaking row and column symmetry"
    - "breaking value symmetry"
    - "multiset ordering constraints"
    - "combining symmetry breaking and global constraints"

Connected through hyperedge HE-2 (induced by source paper "symmetry breaking constraints recent results"):
  with members:
    - "the alldifferent constraint with precedences"
    - "on the complexity and completeness of static constraints for breaking row and column symmetry"
    - "breaking value symmetry"
    - "multiset ordering constraints"
    - "combining symmetry breaking and global constraints"

Connected through hyperedge HE-3 (induced by source paper "parameterized complexity results in symmetry breaking"):
  with members:
    - "on the complexity and completeness of static constraints for breaking row and column symmetry"
    - "symmetry within and between solutions"
    - "breaking value symmetry"
    - "combining symmetry breaking and global constraints"
    - "the parameterized complexity of global constraints"

Connected through hyperedge HE-4 (induced by source paper "symmetry within and between solutions"):
  with members:
    - "on the complexity and completeness of static constraints for breaking row and column symmetry"
    - "symmetry within solutions"
    - "breaking value symmetry"
    - "lifshitz topological black holes"

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)