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: "a fixed parameter tractable approximation scheme for the optimal cut graph of a surface"
  Abstract: Given a graph $G$ cellularly embedded on a surface $\Sigma$ of genus $g$, a cut graph is a subgraph of $G$ such that cutting $\Sigma$ along $G$ yields a topological disk. We provide a fixed parameter tractable approximation scheme for the problem of computing the shortest cut graph, that is, for any $\varepsilon >0$, we show how to compute a $(1+ \varepsilon)$ approximation of the shortest cut graph in time $f(\varepsilon, g)n^3$. #R##N#Our techniques first rely on the computation of a spanner for the problem using the technique of brick decompositions, to reduce the problem to the case of bounded tree-width. Then, to solve the bounded tree-width case, we introduce a variant of the surface-cut decomposition of Ru\'e, Sau and Thilikos, which may be of independent interest.

Connected through hyperedge HE-1 (induced by source paper "almost tight lower bounds for hard cutting problems in embedded graphs"):
  with members:
    - "a framework for eth tight algorithms and lower bounds in geometric intersection graphs"
    - "computational topology of graphs on surfaces"
    - "on subexponential parameterized algorithms for steiner tree and directed subset tsp on planar graphs"
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "a near linear approximation scheme for multicuts of embedded graphs with a fixed number of terminals"
    - "the limited blessing of low dimensionality when 1 1 d is the best possible exponent for d dimensional geometric problems"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "multicuts in planar and bounded genus graphs with bounded number of terminals"

Connected through hyperedge HE-2 (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"
    - "the constant inapproximability of the parameterized dominating set problem"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "parameterized approximation schemes using graph widths"
    - "approximation schemes for maximum weight independent set of rectangles"

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)