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: "optimal dynamic program for r domination problems over tree decompositions"
  Abstract: There has been recent progress in showing that the exponential dependence on treewidth in dynamic programming algorithms for solving NP-hard problems are optimal under the Strong Exponential Time Hypothesis (SETH). We extend this work to $r$-domination problems. In $r$-dominating set, one wished to find a minimum subset $S$ of vertices such that every vertex of $G$ is within $r$ hops of some vertex in $S$. In connected $r$-dominating set, one additionally requires that the set induces a connected subgraph of $G$. We give a $O((2r+1)^{\mathrm{tw}} n)$ time algorithm for $r$-dominating set and a $O((2r+2)^{\mathrm{tw}} n^{O(1)})$ time algorithm for connected $r$-dominating set in $n$-vertex graphs of treewidth $\mathrm{tw}$. We show that the running time dependence on $r$ and $\mathrm{tw}$ is the best possible under SETH. This adds to earlier observations that a "+1" in the denominator is required for connectivity constraints.

Connected through hyperedge HE-1 (induced by source paper "new algorithms for mixed dominating set"):
  with members:
    - "parameterized orientable deletion"
    - "tight approximation ratio for minimum maximal matching"
    - "finer tight bounds for coloring on clique width"
    - "structurally parameterized d scattered set"
    - "structural parameters tight bounds and approximation for k r center"
    - "an efficient algorithm for mixed domination on generalized series parallel graphs"
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "on fixed parameter tractability of the mixed domination problem for graphs with bounded tree width"

Connected through hyperedge HE-2 (induced by source paper "new results on directed edge dominating set"):
  with members:
    - "structural parameters tight bounds and approximation for k r center"
    - "analytical approach to parallel repetition"
    - "directed nowhere dense classes of graphs"

Connected through hyperedge HE-3 (induced by source paper "structural rounding approximation algorithms for graphs near an algorithmically tractable class"):
  with members:
    - "approximate generalized matching f factors and f edge covers"
    - "inapproximability of h transversal packing"
    - "tight running time lower bounds for vertex deletion problems"
    - "polynomial bounds for the grid minor theorem"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "obtaining a planar graph by vertex deletion"

Connected through hyperedge HE-4 (induced by source paper "structural parameters tight bounds and approximation for k r center"):
  with members:
    - "parameterized power vertex cover"
    - "parameterized approximation algorithms for some location problems in graphs"
    - "fixed parameter approximations for k center problems in low highway dimension graphs"
    - "faster algorithms for vertex partitioning problems parameterized by clique width"
    - "parameterized edge hamiltonicity"
    - "parameterized approximation schemes using graph widths"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-5 (induced by source paper "structurally parameterized d scattered set"):
  with members:
    - "parameterized power vertex cover"
    - "structural parameters tight bounds and approximation for k r center"
    - "on distance d independent set and other problems in graphs with few minimal separators"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "parameterized approximation schemes using graph widths"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-6 (induced by source paper "parameterized approximation algorithms for some location problems in graphs"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "structural parameters tight bounds and approximation for k r center"
    - "fast approximation algorithms for p centres in large delta hyperbolic graphs"
    - "fixed parameter approximations for k center problems in low highway dimension graphs"

Connected through hyperedge HE-7 (induced by source paper "known algorithms on graphs of bounded treewidth are probably optimal"):
  with members:
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "on problems as hard as cnf sat"
    - "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "parameterized approximation schemes using graph widths"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "known algorithms for edge clique cover are probably optimal"

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)