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: "on the parameterized and approximation hardness of metric dimension"
  Abstract: The NP-hard Metric Dimension problem is to decide for a given graph G and a positive integer k whether there is a vertex subset of size at most k that separates all vertex pairs in G. Herein, a vertex v separates a pair {u,w} if the distance (length of a shortest path) between v and u is different from the distance of v and w. We give a polynomial-time computable reduction from the Bipartite Dominating Set problem to Metric Dimension on maximum degree three graphs such that there is a one-to-one correspondence between the solution sets of both problems. There are two main consequences of this: First, it proves that Metric Dimension on maximum degree three graphs is W[2]-complete with respect to the parameter k. This answers an open question concerning the parameterized complexity of Metric Dimension posed by D\'iaz et al. [ESA'12] and already mentioned by Lokshtanov [Dagstuhl seminar, 2009]. Additionally, it implies that Metric Dimension cannot be solved in n^{o(k)} time, unless the assumption FPT \neq W[1] fails. This proves that a trivial n^{O(k)} algorithm is probably asymptotically optimal. #R##N#Second, as Bipartite Dominating Set is inapproximable within o(log n), it follows that Metric Dimension on maximum degree three graphs is also inapproximable by a factor of o(log n), unless NP=P. This strengthens the result of Hauptmann et al. [JDA 2012] who proved APX-hardness on bounded-degree graphs.

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"
    - "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 complexity of metric dimension"

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 parameterized by max leaf number"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "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"
    - "metric dimension parameterized by max leaf number"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "computing the metric dimension by decomposing graphs into extended biconnected components"):
  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 complexity of metric dimension"

Connected through hyperedge HE-5 (induced by source paper "on the distance identifying set meta problem and applications to the complexity of identifying problems on graphs"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "metric dimension of bounded tree length graphs"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "on the complexity of metric dimension"

Connected through hyperedge HE-6 (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 parameterized by max leaf number"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "on the complexity of metric dimension"

Connected through hyperedge HE-7 (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"
    - "metric dimension parameterized by max leaf number"
    - "analytical approach to parallel repetition"
    - "on the complexity of metric dimension"

Connected through hyperedge HE-8 (induced by source paper "metric dimension parameterized by max leaf number"):
  with members:
    - "model checking lower bounds for simple graphs"
    - "kernel bounds for path and cycle problems"
    - "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.CC(Computational Complexity)