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: "on the parameterized complexity of cutting a few vertices from a graph"
  Abstract: We study the parameterized complexity of separating a small set of vertices from a graph by a small vertex-separator. That is, given a graph G and integers k, t, the task is to find a vertex set X with |X| ≤ k and |N(X)| ≤ t. We show that #R##N##R##N##R##N#the problem is fixed-parameter tractable (FPT) when parameterized by t but W[1]-hard when parameterized by k, and#R##N##R##N##R##N#a terminal variant of the problem, where X must contain a given vertex s, is W[1]-hard when parameterized either by k or by t alone, but is FPT when parameterized by k + t.#R##N##R##N##R##N##R##N#We also show that if we consider edge cuts instead of vertex cuts, the terminal variant is NP-hard.

Connected through hyperedge HE-1 (induced by source paper "the parameterized complexity of finding secluded solutions to some classical optimization problems on graphs"):
  with members:
    - "finding secluded places of special interest in graphs"
    - "a shortcut to sun flowers kernels in logarithmic space or linear time"
    - "parameterized complexity of secluded connectivity problems"
    - "towards optimal and expressive kernelization for d hitting set"
    - "secluded connectivity problems"
    - "approximation and tidying a problem kernel for s plex cluster vertex deletion"
    - "finding small separators in linear time via treewidth reduction"

Connected through hyperedge HE-2 (induced by source paper "finding secluded places of special interest in graphs"):
  with members:
    - "parameterized complexity of secluded connectivity problems"
    - "towards optimal and expressive kernelization for d hitting set"
    - "secluded connectivity problems"
    - "approximation and tidying a problem kernel for s plex cluster vertex deletion"
    - "finding small separators in linear time via treewidth reduction"

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)