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 "fixed parameter approximations for k center problems in low highway dimension graphs"):
  Abstract: We consider the $k$-Center problem and some generalizations. For $k$-Center a set of $k$ center vertices needs to be found in a graph $G$ with edge lengths, such that the distance from any vertex of $G$ to its nearest center is minimized. This problem naturally occurs in transportation networks, and therefore we model the inputs as graphs with bounded highway dimension, as proposed by Abraham et al. [SODA 2010]. #R##N#We show both approximation and fixed-parameter hardness results, and how to overcome them using fixed-parameter approximations, where the two paradigms are combined. In particular, we prove that for any $\varepsilon>0$ computing a $(2-\varepsilon)$-approximation is W[2]-hard for parameter $k$ and NP-hard for graphs with highway dimension $O(\log^2 n)$. The latter does not rule out fixed-parameter $(2-\varepsilon)$-approximations for the highway dimension parameter $h$, but implies that such an algorithm must have at least doubly exponential running time in $h$ if it exists, unless the ETH fails. On the positive side, we show how to get below the approximation factor of $2$ by combining the parameters $k$ and $h$: we develop a fixed-parameter $3/2$-approximation with running time $2^{O(kh\log h)}\cdot n^{O(1)}$. Additionally we prove that, unless P=NP, our techniques cannot be used to compute fixed-parameter $(2-\varepsilon)$-approximations for only the parameter $h$. #R##N#We also provide similar fixed-parameter approximations for the weighted $k$-Center and $(k,\mathcal{F})$-Partition problems, which generalize $k$-Center.

Includes members:
  Member "the parameterized hardness of the k center problem in transportation networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "grundy coloring friends half graphs bicliques")
  Member "a 1 varepsilon embedding of low highway dimension graphs into bounded treewidth graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "travelling on graphs with small highway dimension")
  Member "structural parameters tight bounds and approximation for k r center":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "regular intersection emptiness of graph problems finding a needle in a haystack of graphs with the help of automata")
  Member "polynomial time approximation schemes for k center and bounded capacity vehicle routing in metrics with bounded highway dimension":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a ptas for bounded capacity vehicle routing in planar graphs")
  Member "beyond highway dimension small distance labels using tree skeletons":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "travelling on graphs with small highway dimension")
  Member "optimal parameterized algorithms for planar facility location problems using voronoi diagrams":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "grundy coloring friends half graphs bicliques")
  Member "parameterized approximation schemes using graph widths":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "parameterized approximation schemes for independent set of rectangles and geometric knapsack")

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)