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: "polynomial time algorithms for the subset feedback vertex set problem on interval graphs and permutation graphs"
  Abstract: Given a vertex-weighted graph $G=(V,E)$ and a set $S \subseteq V$, a subset feedback vertex set $X$ is a set of the vertices of $G$ such that the graph induced by $V \setminus X$ has no cycle containing a vertex of $S$. The \textsc{Subset Feedback Vertex Set} problem takes as input $G$ and $S$ and asks for the subset feedback vertex set of minimum total weight. In contrast to the classical \textsc{Feedback Vertex Set} problem which is obtained from the \textsc{Subset Feedback Vertex Set} problem for $S=V$, restricted to graph classes the \textsc{Subset Feedback Vertex Set} problem is known to be NP-complete on split graphs and, consequently, on chordal graphs. However as \textsc{Feedback Vertex Set} is polynomially solvable for AT-free graphs, no such result is known for the \textsc{Subset Feedback Vertex Set} problem on any subclass of AT-free graphs. Here we give the first polynomial-time algorithms for the problem on two unrelated subclasses of AT-free graphs: interval graphs and permutation graphs. As a byproduct we show that there exists a polynomial-time algorithm for circular-arc graphs by suitably applying our algorithm for interval graphs. Moreover towards the unknown complexity of the problem for AT-free graphs, we give a polynomial-time algorithm for co-bipartite graphs. Thus we contribute to the first positive results of the \textsc{Subset Feedback Vertex Set} problem when restricted to graph classes for which \textsc{Feedback Vertex Set} is solved in polynomial time.

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"
    - "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"
    - "exact algorithms via monotone local search"
    - "a randomized polynomial kernel for subset feedback vertex set"
    - "faster algorithms for vertex partitioning problems parameterized by clique width"

Connected through hyperedge HE-2 (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"
    - "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"
    - "a randomized polynomial kernel for subset feedback vertex set"
    - "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)