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 note on finding dual feedback vertex set"
  Abstract: For an edge-bicolored graph $G$ where each edge is colored either red or blue, a vertex set $S$ is a dual feedback vertex set if $S$ hits all blue cycles and red cycles of $G$. In this paper, we show that a dual feedback vertex set of size at most $k$ can be found in time $O^*(c_1^k)$ and all minimal dual feedback vertex set of size at most $k$ can be enumerated in time $O^*(c_2^{k^2 + k})$ by compact representations for constants $c_1$ and $c_2$.

Connected through hyperedge HE-1 (induced by source paper "simultaneous feedback vertex set a parameterized perspective"):
  with members:
    - "tight running time lower bounds for vertex deletion problems"
    - "faster deterministic feedback vertex set"
    - "interval deletion is fixed parameter tractable"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "faster parameterized algorithms using linear programming"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "obtaining a planar graph by vertex deletion"

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)