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: "approximation and kernelization for chordal vertex deletion"
  Abstract: The Chordal Vertex Deletion (ChVD) problem asks to delete a minimum number of vertices from an input graph to obtain a chordal graph. In this paper we develop a polynomial kernel for ChVD under the parameterization by the solution size, as well as poly(opt) approximation algorithm. The first result answers an open problem of Marx from 2006 [WG 2006, LNCS 4271, 37-48].

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"
    - "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"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-2 (induced by source paper "structural parameterizations with modulator oblivion"):
  with members:
    - "polylogarithmic approximation algorithms for weighted mathcal f deletion problems"
    - "0 1 all csps half integral a path packing and linear time fpt algorithms"
    - "on problems as hard as cnf sat"
    - "large induced subgraphs via triangulations and cmso"
    - "faster parameterized algorithms using linear programming"
    - "on multiway cut parameterized above lower bounds"

Connected through hyperedge HE-3 (induced by source paper "on the approximate compressibility of connected vertex cover"):
  with members:
    - "revisiting connected vertex cover fpt algorithms and lossy kernels"
    - "smaller parameters for vertex cover kernelization"
    - "how much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs"
    - "a randomized polynomial kernelization for vertex cover with a smaller parameter"
    - "vertex cover structural parameterization revisited"
    - "kernelization lower bounds by cross composition"
    - "kernelization of packing problems"
    - "representative sets and irrelevant vertices new tools for kernelization"

Connected through hyperedge HE-4 (induced by source paper "a polynomial kernel for 3 leaf power deletion"):
  with members:
    - "feedback vertex set inspired kernel for chordal vertex deletion"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "a polynomial kernel for block graph deletion"
    - "chordal editing is fixed parameter tractable"
    - "vertex cover kernelization revisited upper and lower bounds for a refined parameter"
    - "polynomial kernels for 3 leaf power graph modification problems"

Connected through hyperedge HE-5 (induced by source paper "losing treewidth by separating subsets"):
  with members:
    - "linear kernels for edge deletion problems to immersion closed graph classes"
    - "parameterized vertex deletion problems for hereditary graph classes with a block property"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "lp based robust algorithms for noisy minor free and bounded treewidth graphs"
    - "partitioning a graph into small pieces with applications to path transversal"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "polynomial bounds for the grid minor theorem"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-6 (induced by source paper "packing and covering induced subdivisions"):
  with members:
    - "recent techniques and results on the erd h o s p osa property"
    - "an o log opt approximation for covering and packing minor models of theta _r"
    - "hitting forbidden minors approximation and kernelization"

Connected through hyperedge HE-7 (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"
    - "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"
    - "network sparsification for steiner problems on planar and bounded genus graphs"

Connected through hyperedge HE-8 (induced by source paper "vertex deletion problems on chordal graphs"):
  with members:
    - "faster online matrix vector multiplication"
    - "exact algorithms via monotone local search"
    - "approximate association via dissociation"
    - "unit interval editing is fixed parameter tractable"
    - "linear recognition of almost interval graphs"
    - "chordal editing is fixed parameter tractable"
    - "large induced subgraphs via triangulations and cmso"
    - "largest chordal and interval subgraphs faster than 2 n"

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)