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 randomized polynomial kernel for subset feedback vertex set"
  Abstract: The Subset Feedback Vertex Set problem generalizes the classical Feedback Vertex Set problem and asks, for a given undirected graph $G=(V,E)$, a set $S \subseteq V$, and an integer $k$, whether there exists a set $X$ of at most $k$ vertices such that no cycle in $G-X$ contains a vertex of $S$. It was independently shown by Cygan et al. (ICALP '11, SIDMA '13) and Kawarabayashi and Kobayashi (JCTB '12) that Subset Feedback Vertex Set is fixed-parameter tractable for parameter $k$. Cygan et al. asked whether the problem also admits a polynomial kernelization. #R##N#We answer the question of Cygan et al. positively by giving a randomized polynomial kernelization for the equivalent version where $S$ is a set of edges. In a first step we show that Edge Subset Feedback Vertex Set has a randomized polynomial kernel parameterized by $|S|+k$ with $O(|S|^2k)$ vertices. For this we use the matroid-based tools of Kratsch and Wahlstr\"om (FOCS '12) that for example were used to obtain a polynomial kernel for $s$-Multiway Cut. Next we present a preprocessing that reduces the given instance $(G,S,k)$ to an equivalent instance $(G',S',k')$ where the size of $S'$ is bounded by $O(k^4)$. These two results lead to a polynomial kernel for Subset Feedback Vertex Set with $O(k^9)$ vertices.

Connected through hyperedge HE-1 (induced by source paper "node multiway cut and subset feedback vertex set on graphs of bounded mim width"):
  with members:
    - "subset feedback vertex set on graphs of bounded independent set size"
    - "rank based approach on graphs with structured neighborhood"
    - "fast exact algorithms for some connectivity problems parametrized by clique width"
    - "on the tractability of optimization problems on h graphs"
    - "polynomial time algorithms for the subset feedback vertex set problem on interval graphs and permutation graphs"
    - "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"
    - "exact algorithms via monotone local search"
    - "faster algorithms for vertex partitioning problems parameterized by clique width"

Connected through hyperedge HE-2 (induced by source paper "subset feedback vertex set in chordal and split graphs"):
  with members:
    - "exact algorithms via monotone local search"
    - "half integrality lp branching and fpt algorithms"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "hitting forbidden minors approximation and kernelization"
    - "subset feedback vertex set is fixed parameter tractable"

Connected through hyperedge HE-3 (induced by source paper "subset feedback vertex set on graphs of bounded independent set size"):
  with members:
    - "subset feedback vertex set in chordal and split graphs"
    - "polynomial time algorithms for the subset feedback vertex set problem on interval graphs and permutation graphs"
    - "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"
    - "a note on the complexity of feedback vertex set parameterized by mim width"
    - "exact algorithms via monotone local search"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "on multiway cut parameterized above lower bounds"

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)