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: "dynamic local search for the maximum clique problem"
  Abstract: In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which suitable vertices are added to the current clique, and plateau search, during which vertices of the current clique are swapped with vertices not contained in the current clique. The selection of vertices is solely based on vertex penalties that are dynamically adjusted during the search, and a perturbation mechanism is used to overcome search stagnation. The behaviour of DLS-MC is controlled by a single parameter, penalty delay, which controls the frequency at which vertex penalties are reduced. We show empirically that DLSMC achieves substantial performance improvements over state-of-the-art algorithms for the maximum clique problem over a large range of the commonly used DIMACS benchmark instances.

Connected through hyperedge HE-1 (induced by source paper "improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization"):
  with members:
    - "the configurable sat solver challenge cssc"
    - "a simple model to generate hard satisfiable instances"

Connected through hyperedge HE-2 (induced by source paper "an efficient local search for the minimum independent dominating set problem"):
  with members:
    - "the sat phase transition"

Connected through hyperedge HE-3 (induced by source paper "accelerating local search for the maximum independent set problem"):
  with members:
    - "finding near optimal independent sets at scale"
    - "graph partitioning for independent sets"
    - "evaluation of labeling strategies for rotating maps"
    - "linear time fpt algorithms via network flow"

Connected through hyperedge HE-4 (induced by source paper "finding near optimal independent sets at scale"):
  with members:
    - "exact algorithms for maximum independent set"
    - "graph partitioning for independent sets"
    - "evaluation of labeling strategies for rotating maps"
    - "branch and reduce exponential fpt algorithms in practice a case study of vertex cover"
    - "linear time fpt algorithms via network flow"
    - "layered label propagation a multiresolution coordinate free ordering for compressing social networks"

Connected through hyperedge HE-5 (induced by source paper "graph partitioning for independent sets"):
  with members:
    - "partitioning complex networks via size constrained clustering"
    - "trajectory based dynamic map labeling"

Connected through hyperedge HE-6 (induced by source paper "numvc an efficient local search algorithm for minimum vertex cover"):
  with members:
    - "new inference rules for max sat"
    - "a simple model to generate hard satisfiable instances"
    - "a novel evolutionary formulation of the maximum independent set problem"
    - "optimal schedules for parallelizing anytime algorithms the case of shared resources"
    - "exact phase transitions in random constraint satisfaction problems"

Connected through hyperedge HE-7 (induced by source paper "clique matrices for statistical graph decomposition and parameterising restricted positive definite matrices"):
  with members:
    - "variational approximations between mean field theory and the junction tree algorithm"

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)