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: "linear time algorithms for finding a dominating set of fixed size in degenerated graphs"
  Abstract: There is substantial literature dealing with fixed parameter algorithms for the dominating set problem on various families of graphs. In this paper, we give a $k^{O(dk)} n$ time algorithm for finding a dominating set of size at most $k$ in a $d$-degenerated graph with $n$ vertices. This proves that the dominating set problem is fixed-parameter tractable for degenerated graphs. For graphs that do not contain $K_h$ as a topological minor, we give an improved algorithm for the problem with running time $(O(h))^{hk} n$. For graphs which are $K_h$-minor-free, the running time is further reduced to $(O(\log h))^{hk/2} n$. Fixed-parameter tractable algorithms that are linear in the number of vertices of the graph were previously known only for planar graphs. #R##N#For the families of graphs discussed above, the problem of finding an induced cycle of a given length is also addressed. For every fixed $H$ and $k$, we show that if an $H$-minor-free graph $G$ with $n$ vertices contains an induced cycle of size $k$, then such a cycle can be found in O(n) expected time as well as in $O(n \log n)$ worst-case time. Some results are stated concerning the (im)possibility of establishing linear time algorithms for the more general family of degenerated graphs.

Connected through hyperedge HE-1 (induced by source paper "parallel algorithms for small subgraph counting"):
  with members:
    - "log diameter rounds algorithms for 2 vertex and 2 edge connectivity"
    - "dynamic algorithms for the massively parallel computation model"
    - "linear time subgraph counting graph degeneracy and the chasm at size six"
    - "exponentially faster massively parallel maximal matching"
    - "faster algorithms for edge connectivity via random 2 out contractions"
    - "massively parallel algorithms for finding well connected components in sparse graphs"
    - "approximating edit distance in truly subquadratic time quantum and mapreduce"
    - "sparsifying distributed algorithms with ramifications in massively parallel computation and centralized local computation"

Connected through hyperedge HE-2 (induced by source paper "decremental optimization of dominating sets under reachability constraints"):
  with members:
    - "incremental optimization of independent sets under reachability constraints"
    - "the complexity of independent set reconfiguration on bipartite graphs"
    - "token sliding on chordal graphs"
    - "the complexity of dominating set reconfiguration"
    - "vertex cover reconfiguration and beyond"
    - "reconfiguration of dominating sets"
    - "on the parameterized complexity of reconfiguration problems"
    - "pspace completeness of sliding block puzzles and other problems through the nondeterministic constraint logic model of computation"

Connected through hyperedge HE-3 (induced by source paper "domination above r independence does sparseness help"):
  with members:
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "kernelization and sparseness the case of dominating set"
    - "faster parameterized algorithms using linear programming"
    - "testing first order properties for subclasses of sparse graphs"
    - "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"
    - "vertex cover problem parameterized above and below tight bounds"
    - "solving max r sat above a tight lower bound"
    - "polynomial time data reduction for dominating set"

Connected through hyperedge HE-4 (induced by source paper "a constructive arboricity approximation scheme"):
  with members:
    - "testing bounded arboricity"
    - "egalitarian graph orientations"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "listing all maximal cliques in sparse graphs in near optimal time"
    - "logarithmic lower bounds in the cell probe model"
    - "the geometric thickness of low degree graphs"

Connected through hyperedge HE-5 (induced by source paper "a complexity theory for labeling schemes"):
  with members:
    - "an optimal ancestry labeling scheme with applications to xml trees and universal posets"
    - "on the implicit graph conjecture"
    - "isomorphism testing for graphs of bounded rank width"

Connected through hyperedge HE-6 (induced by source paper "testing bounded arboricity"):
  with members:
    - "on sampling edges almost uniformly"
    - "planar graphs random walks and bipartiteness testing"
    - "a quasi polynomial time partition oracle for graphs with an excluded minor"
    - "an efficient partitioning oracle for bounded treewidth graphs"
    - "finding cycles and trees in sublinear time"

Connected through hyperedge HE-7 (induced by source paper "reconfiguration on sparse graphs"):
  with members:
    - "reconfiguration on nowhere dense graph classes"
    - "token jumping in minor closed classes"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "faster online matrix vector multiplication"
    - "vertex cover reconfiguration and beyond"
    - "reconfiguration over tree decompositions"
    - "finding shortest paths between graph colourings"
    - "reconfiguration in bounded bandwidth and treedepth"

Connected through hyperedge HE-8 (induced by source paper "on the complexity of various parameterizations of common induced subgraph isomorphism"):
  with members:
    - "slightly superexponential parameterized problems"
    - "deciding first order properties of nowhere dense graphs"
    - "kernelization lower bounds by cross composition"
    - "cleaning interval graphs"
    - "cross composition a new technique for kernelization lower bounds"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "fixed parameter tractability definability and model checking"

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)