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: "identification location domination and metric dimension on interval and permutation graphs i bounds"
  Abstract: We consider the problems of finding optimal identifying codes, (open) locating–dominating sets and resolving sets of an interval or a permutation graph. In these problems, one asks to find a subset of vertices, normally called a solution set, using which all vertices of the graph are distinguished. The identification can be done by considering the neighborhood within the solution set, or by employing the distances to the solution vertices. Normally the goal is to minimize the size of the solution set then. Here we study the case of interval graphs, unit interval graphs, (bipartite) permutation graphs and cographs. For these classes of graphs we give tight lower bounds for the size of such solution sets depending on the order of the input graph. While such lower bounds for the general class of graphs are in logarithmic order, the improved bounds in these special classes are of the order of either quadratic root or linear in terms of number of vertices. Moreover, the results for cographs lead to linear-time algorithms to solve the considered problems on inputs that are cographs.

Connected through hyperedge HE-1 (induced by source paper "the fault tolerant metric dimension of cographs"):
  with members:
    - "computing the metric dimension by decomposing graphs into extended biconnected components"
    - "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"
    - "on the complexity of metric dimension"

Connected through hyperedge HE-2 (induced by source paper "metric dimension parameterized by treewidth"):
  with members:
    - "metric dimension of bounded tree length graphs"
    - "metric dimension parameterized by max leaf number"
    - "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 "computing the metric dimension by decomposing graphs into extended biconnected components"):
  with members:
    - "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"
    - "on the complexity of metric dimension"

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:
    - "identifying codes in hereditary classes of graphs and vc dimension"
    - "metric dimension parameterized by max leaf number"
    - "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 partial vc dimension"):
  with members:
    - "inapproximability of vc dimension and littlestone s dimension"
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "on the approximability of partial vc dimension"
    - "identifying codes in hereditary classes of graphs and vc dimension"
    - "hitting set for hypergraphs of low vc dimension"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "parameterizations of test cover with bounded test sizes"
    - "parameterized study of the test cover problem"

Connected through hyperedge HE-6 (induced by source paper "identifying codes in hereditary classes of graphs and vc dimension"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "inapproximability of truthful mechanisms via generalizations of the vc 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.DM(Discrete Mathematics)