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: "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.

Connected through hyperedge HE-1 (induced by source paper "potential maximal cliques parameterized by edge clique cover"):
  with members:
    - "hyperbench a benchmark and tool for hypergraphs and empirical findings"
    - "constraint solving via fractional edge covers"
    - "ranked enumeration of minimal triangulations"
    - "positive instance driven dynamic programming for treewidth"
    - "on distance d independent set and other problems in graphs with few minimal separators"
    - "general and fractional hypertree decompositions hard and easy cases"
    - "on the number of minimal separators in graphs"
    - "algorithms parameterized by vertex cover and modular width through potential maximal cliques"

Connected through hyperedge HE-2 (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"
    - "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"
    - "a randomized polynomial kernel for subset feedback vertex set"
    - "faster algorithms for vertex partitioning problems parameterized by clique width"

Connected through hyperedge HE-3 (induced by source paper "linear mim width of trees"):
  with members:
    - "semitotal domination new hardness results and a polynomial time algorithm for graphs of bounded mim width"
    - "rank based approach on graphs with structured neighborhood"
    - "generalized distance domination problems and their complexity on graphs of bounded mim width"
    - "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"
    - "polynomial time algorithms for the longest induced path and induced disjoint paths problems on graphs of bounded mim width"
    - "lower bounds on the mim width of some graph classes"
    - "output polynomial enumeration on graphs of bounded local linear mim width"

Connected through hyperedge HE-4 (induced by source paper "intersection graphs of non crossing paths"):
  with members:
    - "on h topological intersection graphs"
    - "intersection graphs of segments and exists mathbb r"
    - "characterizing path graphs by forbidden induced subgraphs"

Connected through hyperedge HE-5 (induced by source paper "isomorphism problem for s d graphs"):
  with members:
    - "on h topological intersection graphs"
    - "isomorphism of graph classes related to the circular ones property"

Connected through hyperedge HE-6 (induced by source paper "reducing the domination number of graphs via edge contractions"):
  with members:
    - "contraction and deletion blockers for perfect graphs and h free graphs"

Connected through hyperedge HE-7 (induced by source paper "generalized distance domination problems and their complexity on graphs of bounded mim width"):
  with members:
    - "new algorithms for weighted k domination and total k domination problems in proper interval graphs"
    - "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"
    - "on h topological intersection graphs"

Connected through hyperedge HE-8 (induced by source paper "a note on the complexity of feedback vertex set parameterized by mim width"):
  with members:
    - "a unified polynomial time algorithm for feedback vertex set on graphs of bounded mim width"

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)