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 polynomial kernel for proper interval vertex deletion"
  Abstract: It is known that the problem of deleting at most k vertices to obtain a proper interval graph (Proper Interval Vertex Deletion) is fixed parameter tractable. However, whether the problem admits a polynomial kernel or not was open. Here, we answers this question in affirmative by obtaining a polynomial kernel for Proper Interval Vertex Deletion. This resolves an open question of van Bevern, Komusiewicz, Moser, and Niedermeier.

Connected through hyperedge HE-1 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs"):
  with members:
    - "a complexity dichotomy for hitting connected minors on bounded treewidth graphs the chair and the banner draw the boundary"
    - "feedback vertex set inspired kernel for chordal vertex deletion"
    - "approximation and kernelization for chordal vertex deletion"
    - "polynomial kernels for weighted problems"
    - "linear recognition of almost interval graphs"
    - "large induced subgraphs via triangulations and cmso"
    - "data reduction for graph coloring problems"
    - "interval deletion is fixed parameter tractable"

Connected through hyperedge HE-2 (induced by source paper "solving partition problems almost always requires pushing many vertices around"):
  with members:
    - "recognition of unipolar and generalised split graphs"
    - "partitioning a graph into disjoint cliques and a triangle free graph"
    - "algorithms for unipolar and generalized split graphs"

Connected through hyperedge HE-3 (induced by source paper "feedback vertex set inspired kernel for chordal vertex deletion"):
  with members:
    - "polylogarithmic approximation algorithms for weighted mathcal f deletion problems"
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "approximation and kernelization for chordal vertex deletion"
    - "bidimensionality and kernels"
    - "unit interval vertex deletion fewer vertices are relevant"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "linear recognition of almost interval graphs"
    - "chordal editing is fixed parameter tractable"

Connected through hyperedge HE-4 (induced by source paper "exploring the complexity of layout parameters in tournaments and semi complete digraphs"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "cutwidth obstructions and algorithmic aspects"
    - "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
    - "subexponential parameterized algorithm for computing the cutwidth of a semi complete digraph"
    - "computing cutwidth and pathwidth of semi complete digraphs via degree orderings"
    - "faster fast feedback arc set in tournaments"

Connected through hyperedge HE-5 (induced by source paper "approximation and kernelization for chordal vertex deletion"):
  with members:
    - "uniform kernelization complexity of hitting forbidden minors"
    - "linear recognition of almost interval graphs"
    - "a subexponential parameterized algorithm for proper interval completion"
    - "kernelization using structural parameters on sparse graph classes"
    - "preprocessing subgraph and minor problems when does a small vertex cover help"
    - "approximation and tidying a problem kernel for s plex cluster vertex deletion"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "compression via matroids a randomized polynomial kernel for odd cycle transversal"

Connected through hyperedge HE-6 (induced by source paper "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"):
  with members:
    - "further kernelization of proper interval vertex deletion new observations and refined analysis"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "constructive algorithm for path width of matroids"
    - "unit interval editing is fixed parameter tractable"
    - "a note on graphs of linear rank width 1"
    - "interval deletion is fixed parameter tractable"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "a quartic kernel for pathwidth one vertex deletion"

Connected through hyperedge HE-7 (induced by source paper "unit interval editing is fixed parameter tractable"):
  with members:
    - "unit interval vertex deletion fewer vertices are relevant"
    - "forbidden induced subgraphs of normal helly circular arc graphs characterization and detection"
    - "linear recognition of almost interval graphs"
    - "chordal editing is fixed parameter tractable"
    - "a subexponential parameterized algorithm for proper interval completion"
    - "normal helly circular arc graphs and its subclasses"
    - "finding small separators in linear time via treewidth reduction"
    - "polynomial kernels for proper interval completion and related problems"

Connected through hyperedge HE-8 (induced by source paper "polynomial kernelization for removing induced claws and diamonds"):
  with members:
    - "a polynomial kernel for trivially perfect editing"
    - "a subexponential parameterized algorithm for proper interval completion"
    - "a subexponential parameterized algorithm for interval completion"
    - "exploring subexponential parameterized complexity of completion problems"
    - "parameterized complexity of induced graph matching on claw free graphs"
    - "subexponential parameterized algorithm for minimum fill in"
    - "on the non existence of polynomial kernels for p l free edge modification problems"

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)