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 quartic kernel for pathwidth one vertex deletion"
  Abstract: The pathwidth of a graph is a measure of how path-like the graph is. Given a graph G and an integer k, the problem of finding whether there exist at most k vertices in G whose deletion results in a graph of pathwidth at most one is NP- complete. We initiate the study of the parameterized complexity of this problem, parameterized by k. We show that the problem has a quartic vertex-kernel: We show that, given an input instance (G = (V, E), k); |V| = n, we can construct, in polynomial time, an instance (G', k') such that (i) (G, k) is a YES instance if and only if (G', k') is a YES instance, (ii) G' has O(k^{4}) vertices, and (iii) k' \leq k. We also give a fixed parameter tractable (FPT) algorithm for the problem that runs in O(7^{k} k \cdot n^{2}) time.

Connected through hyperedge HE-1 (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"
    - "a polynomial kernel for proper interval vertex deletion"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-2 (induced by source paper "linear kernels and single exponential algorithms via protrusion decompositions"):
  with members:
    - "slightly superexponential parameterized problems"
    - "bidimensionality and kernels"
    - "myhill nerode methods for hypergraphs"
    - "hitting and harvesting pumpkins"
    - "linear recognition of almost interval graphs"
    - "kernelization using structural parameters on sparse graph classes"
    - "meta kernelization with structural parameters"
    - "interval deletion is fixed parameter tractable"

Connected through hyperedge HE-3 (induced by source paper "planar f deletion approximation and optimal fpt algorithms"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "hitting and harvesting pumpkins"
    - "linear kernels on graphs excluding topological minors"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "bidimensionality and geometric graphs"
    - "hitting forbidden minors approximation and kernelization"
    - "bidimensionality and eptas"
    - "hitting diamonds and growing cacti"

Connected through hyperedge HE-4 (induced by source paper "contracting graphs to paths and trees"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "deterministic parameterized connected vertex cover"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"
    - "obtaining a bipartite graph by contracting few edges"
    - "obtaining a planar graph by vertex deletion"

Connected through hyperedge HE-5 (induced by source paper "hitting forbidden minors approximation and kernelization"):
  with members:
    - "bidimensionality and kernels"
    - "hitting diamonds and growing cacti"
    - "solving dominating set in larger classes of graphs fpt algorithms and polynomial kernels"
    - "solving max r sat above a tight lower bound"
    - "polynomial kernelizations for min f pi_1 and max np"

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)