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 "on the tractability of optimization problems on h graphs"):
  Abstract: For a graph $H$, a graph $G$ is an $H$-graph if it is an intersection graph of connected subgraphs of some subdivision of $H$. $H$-graphs naturally generalize several important graph classes like interval or circular-arc graph. This class was introduced in the early 1990s by B\'i r\'o, Hujter, and Tuza. Very recently, Chaplick et al. initiated the algorithmic study of $H$-graphs by showing that a number of fundamental optimization problems are solvable in polynomial time on $H$-graphs. We extend and complement these algorithmic findings in several directions. #R##N#First we show that for every fixed $H$, the class of $H$-graphs is of logarithmically-bounded boolean-width. Pipelined with the plethora of known algorithms on graphs of bounded boolean-width, this describes a large class of problems solvable in polynomial time on $H$-graphs. We also observe that $H$-graphs are graphs with polynomially many minimal separators. Combined with the work of Fomin, Todinca and Villanger on algorithmic properties of such classes of graphs, this identify another wide class of problems solvable in polynomial time on $H$-graphs. #R##N#The most fundamental optimization problems among the problems solvable in polynomial time on $H$-graphs are Maximum Clique, Maximum Independent Set, and Minimum Dominating Set. We provide a more refined complexity analysis of these problems from the perspective of Parameterized Complexity. We show that Maximum Independent Set, and Minimum Dominating Set are W[1]-hard being parameterized by the size of $H$ and the size of the solution. On the other hand, we prove that when $H$ is a tree, then Minimum Dominating Set is fixed-parameter tractable parameterized (FPT) by the size of $H$. #R##N#For Maximum Clique we show that it is W[1]-hard parameterized by the size of $H$ but admits a polynomial kernel parameterized by $H$ and the solution size.

Includes members:
  Member "generalized distance domination problems and their complexity on graphs of bounded mim width":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "linear mim width of trees")
  Member "a note on the complexity of feedback vertex set parameterized by mim width":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (induced by source paper "a meta algorithm for solving connectivity and acyclicity constraints on locally checkable properties parameterized by graph width measures")
  Member "on h topological intersection graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "intersection graphs of non crossing paths")
  Member "large induced subgraphs via triangulations and cmso":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hitting topological minors is fpt")
  Member "on graph classes with logarithmic boolean width":
    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)