human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "alternative parameterizations of metric dimension"):
  Abstract: A set of vertices $W$ in a graph $G$ is called resolving if for any two distinct $x,y\in V(G)$, there is $v\in W$ such that ${\rm dist}_G(v,x)\neq{\rm dist}_G(v,y)$, where ${\rm dist}_G(u,v)$ denotes the length of a shortest path between $u$ and $v$ in the graph $G$. The metric dimension ${\rm md}(G)$ of $G$ is the minimum cardinality of a resolving set. The Metric Dimension problem, i.e. deciding whether ${\rm md}(G)\le k$, is NP-complete even for interval graphs (Foucaud et al., 2017). We study Metric Dimension (for arbitrary graphs) from the lens of parameterized complexity. The problem parameterized by $k$ was proved to be $W[2]$-hard by Hartung and Nichterlein (2013) and we study the dual parameterization, i.e., the problem of whether ${\rm md}(G)\le n- k,$ where $n$ is the order of $G$. We prove that the dual parameterization admits (a) a kernel with at most $3k^4$ vertices and (b) an algorithm of runtime $O^*(4^{k+o(k)}).$ Hartung and Nichterlein (2013) also observed that Metric Dimension is fixed-parameter tractable when parameterized by the vertex cover number $vc(G)$ of the input graph. We complement this observation by showing that it does not admit a polynomial kernel even when parameterized by $vc(G) + k$. Our reduction also gives evidence for non-existence of polynomial Turing kernels.

Includes members:
  Member "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the distance identifying set meta problem and applications to the complexity of identifying problems on graphs")
  Member "a polynomial turing kernel for weighted independent set in bull free graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a hierarchy of polynomial kernels")
  Member "metric dimension of bounded tree length graphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the fault tolerant metric dimension of cographs")
  Member "metric dimension parameterized by max leaf number":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "parameterized complexity of geodetic set")
  Member "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "subgraph isomorphism on graph classes that exclude a substructure")
  Member "metric dimension for gabriel unit disk graphs is np complete":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the fault tolerant metric dimension of cographs")
  Member "kernelization lower bounds by cross composition":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs")
  Member "non existence of polynomial kernels for the test cover problem":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "fixed parameter tractable algorithms for tracking shortest paths")

Question: Please tell me which class the source paper 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)