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: "hitting and harvesting pumpkins"
  Abstract: The $c$-pumpkin is the graph with two vertices linked by $c \geq 1$ parallel edges. A $c$-pumpkin-model in a graph $G$ is a pair $\{A, B\}$ of disjoint subsets of vertices of $G$, each inducing a connected subgraph of $G$, such that there are at least $c$ edges in $G$ between $A$ and $B$. We focus on hitting and packing $c$-pumpkin-models in a given graph in the realm of approximation algorithms and parameterized algorithms. We give a fixed-parameter tractable (FPT) algorithm running in time $2^{\mathcal{O}(k)} n^{\mathcal{O}(1)}$ deciding, for any fixed $c \geq 1$, whether all $c$-pumpkin-models can be hit by at most $k$ vertices. This generalizes known single-exponential FPT algorithms for Vertex Cover and Feedback Vertex Set, which correspond to the cases $c=1,2$ respectively. Finally, we present an $\mathcal{O}(\log n)$-approximation algorithm for both the problems of hitting all $c$-pumpkin-models with a smallest number of vertices and packing a maximum number of vertex-disjoint $c$-pumpkin-models.

Connected through hyperedge HE-1 (induced by source paper "optimal algorithms for hitting topological minors on graphs of bounded treewidth"):
  with members:
    - "slightly superexponential parameterized problems"
    - "deleting vertices to graphs of bounded genus"
    - "how much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs"
    - "bidimensionality and kernels"
    - "a tight lower bound for vertex planarization on graphs of bounded treewidth"
    - "explicit linear kernels via dynamic programming"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "solving connectivity problems parameterized by treewidth in single exponential time"

Connected through hyperedge HE-2 (induced by source paper "parameterized vertex deletion problems for hereditary graph classes with a block property"):
  with members:
    - "a faster fpt algorithm and a smaller kernel for block graph vertex deletion"
    - "a polynomial kernel for block graph deletion"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "half integrality lp branching and fpt algorithms"
    - "faster deterministic feedback vertex set"
    - "planar f deletion approximation and optimal fpt algorithms"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-3 (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"
    - "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"
    - "planar f deletion approximation and optimal fpt algorithms"

Connected through hyperedge HE-4 (induced by source paper "planar f deletion approximation and optimal fpt algorithms"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "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"
    - "a quartic kernel for pathwidth one vertex deletion"
    - "bidimensionality and eptas"
    - "hitting diamonds and growing cacti"

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)