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 "travelling on graphs with small highway dimension"):
  Abstract: We study the Travelling Salesperson (TSP) and the Steiner Tree problem (STP) in graphs of low highway dimension. This graph parameter was introduced by Abraham et al. [SODA 2010] as a model for transportation networks, on which TSP and STP naturally occur for various applications in logistics. It was previously shown [Feldmann et al. ICALP 2015] that these problems admit a quasi-polynomial time approximation scheme (QPTAS) on graphs of constant highway dimension. We demonstrate that a significant improvement is possible in the special case when the highway dimension is 1, for which we present a fully-polynomial time approximation scheme (FPTAS). We also prove that STP is weakly NP-hard for these restricted graphs. For TSP we show NP-hardness for graphs of highway dimension 6, which answers an open problem posed in [Feldmann et al. ICALP 2015].

Includes members:
  Member "hierarchy of transportation network parameters and hardness results":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the parameterized hardness of the k center problem in transportation networks")
  Member "the parameterized hardness of the k center problem in transportation networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (induced by source paper "a ptas for bounded capacity vehicle routing in planar graphs")
  Member "structural parameters tight bounds and approximation for k r center":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "regular intersection emptiness of graph problems finding a needle in a haystack of graphs with the help of automata")
  Member "beyond highway dimension small distance labels using tree skeletons":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hierarchy of transportation network parameters and hardness results")
  Member "solving generalized maximum weight connected subgraph problem for network enrichment analysis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "ranking vertices for active module recovery problem")
  Member "fixed parameter approximations for k center problems in low highway dimension graphs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "parameterized approximation schemes for independent set of rectangles and geometric knapsack")
  Member "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a quasi polynomial algorithm for well spaced hyperbolic tsp")

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)