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: "solving dominating set in larger classes of graphs fpt algorithms and polynomial kernels"
  Abstract: We show that the k-Dominating Set problem is fixed parameter tractable (FPT) and has a polynomial kernel for any class of graphs that exclude K_{i,j} as a subgraph, for any fixed i, j >= 1. This strictly includes every class of graphs for which this problem has been previously shown to have FPT algorithms and/or polynomial kernels. In particular, our result implies that the problem restricted to bounded- degenerate graphs has a polynomial kernel, solving an open problem posed by Alon and Gutner.

Connected through hyperedge HE-1 (induced by source paper "classes of graphs with low complexity the case of classes with bounded linear rankwidth"):
  with members:
    - "on the number of types in sparse graphs"
    - "reconfiguration on sparse graphs"
    - "deciding first order properties of nowhere dense graphs"

Connected through hyperedge HE-2 (induced by source paper "lossy kernels for connected dominating set on sparse graphs"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "on the number of types in sparse graphs"
    - "the generalised colouring numbers on classes of bounded expansion"
    - "characterising bounded expansion by neighbourhood complexity"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "bidimensionality and kernels"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "approximation algorithms for polynomial expansion and low density graphs"

Connected through hyperedge HE-3 (induced by source paper "how much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs"):
  with members:
    - "bidimensionality and kernels"
    - "vertex cover structural parameterization revisited"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "reconfiguration on sparse graphs"):
  with members:
    - "reconfiguration on nowhere dense graph classes"
    - "token jumping in minor closed classes"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "faster online matrix vector multiplication"
    - "vertex cover reconfiguration and beyond"
    - "reconfiguration over tree decompositions"
    - "finding shortest paths between graph colourings"
    - "reconfiguration in bounded bandwidth and treedepth"

Connected through hyperedge HE-5 (induced by source paper "hitting set for hypergraphs of low vc dimension"):
  with members:
    - "teaching and compressing for low vc dimension"
    - "identifying codes in hereditary classes of graphs and vc dimension"
    - "domination when the stars are out"
    - "improved approximation algorithms for geometric set cover"

Connected through hyperedge HE-6 (induced by source paper "kernels for connected dominating set on graphs with excluded topological subgraphs"):
  with members:
    - "tight kernel bounds for problems on graphs with small degeneracy"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "parameterized complexity of directed steiner tree on sparse graphs"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"
    - "bidimensionality and geometric graphs"
    - "hitting forbidden minors approximation and kernelization"
    - "bidimensionality and eptas"
    - "beyond bidimensionality parameterized subexponential algorithms on directed graphs"

Connected through hyperedge HE-7 (induced by source paper "a linear kernel for planar total dominating set"):
  with members:
    - "bidimensionality and kernels"
    - "a linear kernel for planar red blue dominating set"
    - "explicit linear kernels via dynamic programming"
    - "kernels for connected dominating set on graphs with excluded topological subgraphs"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "parameterized domination in circle graphs"
    - "polynomial time data reduction for dominating set"

Connected through hyperedge HE-8 (induced by source paper "parameterized complexity of directed steiner tree on sparse graphs"):
  with members:
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "fpt algorithms for connected feedback vertex set"
    - "linear time algorithms for finding a dominating set of fixed size in degenerated graphs"

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)