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: "neighborhood complexity and kernelization for nowhere dense classes of graphs"
  Abstract: We prove that whenever $G$ is a graph from a nowhere dense graph class $\mathcal{C}$, and $A$ is a subset of vertices of $G$, then the number of subsets of $A$ that are realized as intersections of $A$ with $r$-neighborhoods of vertices of $G$ is at most $f(r,\epsilon)\cdot |A|^{1+\epsilon}$, where $r$ is any positive integer, $\epsilon$ is any positive real, and $f$ is a function that depends only on the class $\mathcal{C}$. This yields a characterization of nowhere dense classes of graphs in terms of neighborhood complexity, which answers a question posed by Reidl et al. As an algorithmic application of the above result, we show that for every fixed $r$, the parameterized Distance-$r$ Dominating Set problem admits an almost linear kernel on any nowhere dense graph class. This proves a conjecture posed by Drange et al., and shows that the limit of parameterized tractability of Distance-$r$ Dominating Set on subgraph-closed graph classes lies exactly on the boundary between nowhere denseness and somewhere denseness.

Connected through hyperedge HE-1 (induced by source paper "on the parameterized complexity of reconfiguration of connected dominating sets"):
  with members:
    - "empirical evaluation of approximation algorithms for generalized graph coloring and uniform quasi wideness"
    - "reconfiguration on nowhere dense graph classes"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "reconfiguration of dominating sets"
    - "kernelization using structural parameters on sparse graph classes"
    - "deciding first order properties of nowhere dense graphs"
    - "the complexity of change"
    - "flip distance between two triangulations of a point set is np complete"

Connected through hyperedge HE-2 (induced by source paper "domination above r independence does sparseness help"):
  with members:
    - "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"
    - "linear time algorithms for finding a dominating set of fixed size in degenerated graphs"
    - "polynomial time data reduction for dominating set"

Connected through hyperedge HE-3 (induced by source paper "linear rankwidth meets stability"):
  with members:
    - "graphs of bounded cliquewidth are polynomially chi bounded"
    - "progressive algorithms for domination and independence"
    - "first order interpretations of bounded expansion classes"
    - "on the number of types in sparse graphs"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"

Connected through hyperedge HE-4 (induced by source paper "empirical evaluation of approximation algorithms for generalized graph coloring and uniform quasi wideness"):
  with members:
    - "exactly solving the maximum weight independent set problem on large real world graphs"
    - "experimental evaluation of kernelization algorithms to dominating set"
    - "polynomial bounds for centered colorings on proper minor closed graph classes"
    - "kernelization and approximation of distance r independent sets on nowhere dense graphs"
    - "distributed domination on graph classes of bounded expansion"
    - "reconfiguration on nowhere dense graph classes"
    - "positive instance driven dynamic programming for treewidth"
    - "experimental evaluation of counting subgraph isomorphisms in classes of bounded expansion"

Connected through hyperedge HE-5 (induced by source paper "parameterized circuit complexity of model checking first order logic on sparse structures"):
  with members:
    - "distributed domination on graph classes of bounded expansion"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "kernelization and sparseness the case of dominating set"

Connected through hyperedge HE-6 (induced by source paper "progressive algorithms for domination and independence"):
  with members:
    - "on the number of types in sparse graphs"
    - "kernelization and sparseness the case of dominating set"

Connected through hyperedge HE-7 (induced by source paper "the fine structure of preferential attachment graphs i somewhere denseness"):
  with members:
    - "first order query evaluation with cardinality conditions"
    - "deciding first order properties of nowhere dense graphs"

Connected through hyperedge HE-8 (induced by source paper "lossy kernels for connected dominating set on sparse graphs"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "on the number of types in sparse graphs"
    - "the generalised colouring numbers on classes of bounded expansion"
    - "characterising bounded expansion by neighbourhood complexity"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "bidimensionality and kernels"
    - "approximation algorithms for polynomial expansion and low density graphs"
    - "kernelization and sparseness the case of dominating set"

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.DM(Discrete Mathematics)