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: "vertex cover structural parameterization revisited"
  Abstract: A pseudoforest is a graph whose connected components have at most one cycle. Let X be a pseudoforest modulator of graph G, i. e. a vertex subset of G such that G-X is a pseudoforest. We show that Vertex Cover admits a polynomial kernel being parameterized by the size of the pseudoforest modulator. In other words, we provide a polynomial time algorithm that for an input graph G and integer k, outputs a graph G' and integer k', such that G' has O(|X|12) vertices and G has a vertex cover of size k if and only if G' has vertex cover of size k'. We complement our findings by proving that there is no polynomial kernel for Vertex Cover parameterized by the size of a modulator to a mock forest (a graph where no cycles share a vertex) unless NP is a subset of coNP/poly. In particular, this also rules out polynomial kernels when parameterized by the size of a modulator to outerplanar and cactus graphs.

Connected through hyperedge HE-1 (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"
    - "approximation and kernelization for chordal vertex deletion"
    - "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"
    - "kernelization lower bounds by cross composition"
    - "kernelization of packing problems"
    - "representative sets and irrelevant vertices new tools for kernelization"

Connected through hyperedge HE-2 (induced by source paper "elimination distances blocking sets and kernels for vertex cover"):
  with members:
    - "polynomial kernels for hitting forbidden minors under structural parameterizations"
    - "smaller parameters for vertex cover kernelization"
    - "a randomized polynomial kernelization for vertex cover with a smaller parameter"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "graph isomorphism parameterized by elimination distance to bounded degree"
    - "kernelization lower bounds by cross composition"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "vertex cover kernelization revisited upper and lower bounds for a refined parameter"

Connected through hyperedge HE-3 (induced by source paper "what is known about vertex cover kernelization"):
  with members:
    - "smaller parameters for vertex cover kernelization"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"
    - "matchings with lower quotas algorithms and complexity"
    - "efficient classification for metric data"
    - "kernelization lower bounds by cross composition"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "vertex cover kernelization revisited upper and lower bounds for a refined parameter"

Connected through hyperedge HE-4 (induced by source paper "polynomial kernels for hitting forbidden minors under structural parameterizations"):
  with members:
    - "uniform kernelization complexity of hitting forbidden minors"
    - "a faster parameterized algorithm for treedepth"
    - "one hierarchy spawns another graph deconstructions and the complexity classification of conjunctive queries"

Connected through hyperedge HE-5 (induced by source paper "how much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs"):
  with members:
    - "bidimensionality and kernels"
    - "meta kernelization using well structured modulators"
    - "a faster parameterized algorithm for treedepth"
    - "explicit linear kernels via dynamic programming"
    - "meta kernelization with structural parameters"
    - "kernelization lower bounds by cross composition"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "dynamic programming for graphs on surfaces"

Connected through hyperedge HE-6 (induced by source paper "lower bounds for protrusion replacement by counting equivalence classes"):
  with members:
    - "lower bounds for dynamic programming on planar graphs of bounded cutwidth"
    - "the effect of planarization on width"
    - "explicit linear kernels for packing problems"
    - "explicit linear kernels via dynamic programming"
    - "kernelization using structural parameters on sparse graph classes"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "hitting forbidden minors approximation and kernelization"
    - "known algorithms on graphs of bounded treewidth 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)