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: "parameterized approximation schemes using graph widths"
  Abstract: Combining the techniques of approximation algorithms and parameterized complexity has long been considered a promising research area, but relatively few results are currently known. In this paper we study the parameterized approximability of a number of problems which are known to be hard to solve exactly when parameterized by treewidth or clique-width. Our main contribution is to present a natural randomized rounding technique that extends well-known ideas and can be used for both of these widths. Applying this very generic technique we obtain approximation schemes for a number of problems, evading both polynomial-time inapproximability and parameterized intractability bounds.

Connected through hyperedge HE-1 (induced by source paper "parameterized approximation schemes for independent set of rectangles and geometric knapsack"):
  with members:
    - "approximating geometric knapsack via l packings"
    - "on approximating maximum independent set of rectangles"
    - "fixed parameter approximations for k center problems in low highway dimension graphs"
    - "lower bounds for approximation schemes for closest string"
    - "a fixed parameter tractable approximation scheme for the optimal cut graph of a surface"
    - "the constant inapproximability of the parameterized dominating set problem"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "approximation schemes for maximum weight independent set of rectangles"

Connected through hyperedge HE-2 (induced by source paper "parameterized power vertex cover"):
  with members:
    - "deterministic parameterized connected vertex cover"

Connected through hyperedge HE-3 (induced by source paper "parameterized approximation algorithms for directed steiner network problems"):
  with members:
    - "complexity of the steiner network problem with respect to the number of terminals"
    - "eth hardness of approximating 2 csps and directed steiner network"
    - "the complexity landscape of fixed parameter directed steiner network problems"
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "on subexponential parameterized algorithms for steiner tree and directed subset tsp on planar graphs"
    - "parameterized complexity and approximability of directed odd cycle transversal"
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"

Connected through hyperedge HE-4 (induced by source paper "structural parameters tight bounds and approximation for k r center"):
  with members:
    - "parameterized power vertex cover"
    - "parameterized approximation algorithms for some location problems in graphs"
    - "fixed parameter approximations for k center problems in low highway dimension graphs"
    - "optimal dynamic program for r domination problems over tree decompositions"
    - "faster algorithms for vertex partitioning problems parameterized by clique width"
    - "parameterized edge hamiltonicity"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-5 (induced by source paper "structurally parameterized d scattered set"):
  with members:
    - "parameterized power vertex cover"
    - "structural parameters tight bounds and approximation for k r center"
    - "on distance d independent set and other problems in graphs with few minimal separators"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "optimal dynamic program for r domination problems over tree decompositions"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-6 (induced by source paper "fixed parameter approximations for k center problems in low highway dimension graphs"):
  with members:
    - "the parameterized hardness of the k center problem in transportation networks"
    - "a 1 varepsilon embedding of low highway dimension graphs into bounded treewidth graphs"
    - "structural parameters tight bounds and approximation for k r center"
    - "polynomial time approximation schemes for k center and bounded capacity vehicle routing in metrics with bounded highway dimension"
    - "beyond highway dimension small distance labels using tree skeletons"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"

Connected through hyperedge HE-7 (induced by source paper "known algorithms on graphs of bounded treewidth are probably optimal"):
  with members:
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "on problems as hard as cnf sat"
    - "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
    - "optimal dynamic program for r domination problems over tree decompositions"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "known algorithms for edge clique cover are probably optimal"

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.DS(Data Structures and Algorithms)