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: "metric dimension parameterized by max leaf number"
  Abstract: The metric dimension of a graph is the size of the smallest set of vertices whose distances distinguish all pairs of vertices in the graph. We show that this graph invariant may be calculated by an algorithm whose running time is linear in the input graph size, added to a function of the largest possible number of leaves in a spanning tree of the graph.

Connected through hyperedge HE-1 (induced by source paper "parameterized complexity of geodetic set"):
  with members:
    - "hardness and approximation for the geodetic set problem in some graph classes"

Connected through hyperedge HE-2 (induced by source paper "metric dimension parameterized by treewidth"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs i bounds"
    - "metric dimension of bounded tree length graphs"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "on the parameterized and approximation hardness of metric dimension"
    - "complexity of metric dimension on planar graphs"

Connected through hyperedge HE-3 (induced by source paper "alternative parameterizations of metric dimension"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "metric dimension of bounded tree length graphs"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "kernelization lower bounds by cross composition"
    - "non existence of polynomial kernels for the test cover problem"
    - "parameterized study of the test cover problem"

Connected through hyperedge HE-4 (induced by source paper "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs i bounds"
    - "identifying codes in hereditary classes of graphs and vc dimension"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "on the parameterized and approximation hardness of metric dimension"
    - "on the complexity of metric dimension"

Connected through hyperedge HE-5 (induced by source paper "parameterized and approximation complexity of the detection pair problem in graphs"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "analytical approach to parallel repetition"
    - "on the parameterized and approximation hardness of metric dimension"
    - "on the complexity of metric dimension"

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.DS(Data Structures and Algorithms)