human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"):
  Abstract: We give a first polynomial-time algorithm for (Weighted) Feedback Vertex Set on graphs of bounded maximum induced matching width (mim-width). Explicitly, given a branch decomposition of mim-width $w$, we give an $n^{\mathcal{O}(w)}$-time algorithm that solves Feedback Vertex Set. This provides a unified algorithm for many well-known classes, such as Interval graphs and Permutation graphs, and furthermore, it gives the first polynomial-time algorithms for other classes of bounded mim-width, such as Circular Permutation, Circular $k$-Trapezoid and Dilworth-$k$ graphs for fixed $k$. In all these classes the decomposition is computable in polynomial time, as shown by Belmonte and Vatshelle [Theor. Comput. Sci. 2013]. We show that powers of graphs of tree-width $w + 1$ and powers of graphs of clique-width $w$ have mim-width at most $w$. These results extensively provide new classes of bounded mim-width. The first result implies that, surprisingly, Leaf Power graphs which are of importance in the field of phylogenetic studies have mim-width at most $1$. Given a tree-decomposition of width $w + 1$ or a clique-width $w$-expression of a graph $G$, one can for any value of $k$ find a mim-width decomposition of its $k$-power in polynomial time, and apply our algorithm to solve Feedback Vertex Set on the k-power in time $n^{\mathcal{O}(w)}$. In contrast to Feedback Vertex Set, we show that Hamiltonian Cycle is NP-complete even on graphs of linear mim-width $1$, which further hints at the expressive power of the mim-width parameter.

Includes members:
  Member "on strongly chordal graph that are not leaf powers":
    also connected through other hyperedges:
      (none)
  Member "a note on the complexity of feedback vertex set parameterized by mim width":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "subset feedback vertex set on graphs of bounded independent set size")
  Member "polynomial time algorithms for the longest induced path and induced disjoint paths problems on graphs of bounded mim width":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a meta algorithm for solving connectivity and acyclicity constraints on locally checkable properties parameterized by graph width measures")
  Member "lower bounds on the mim width of some graph classes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "linear mim width of trees")
  Member "towards a characterization of leaf powers by clique arrangements":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "polynomial time recognition of 4 steiner powers")
  Member "on polygon numbers of circle graphs and distance hereditary graphs":
    also connected through other hyperedges:
      (none)
  Member "np completeness of hamiltonian cycle problem on rooted directed path graphs":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)