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: "polynomial kernels and wideness properties of nowhere dense graph classes"
  Abstract: Nowhere dense classes of graphs are very general classes of uniformly sparse graphs with several seemingly unrelated characterisations. From an algorithmic perspective, a characterisation of these classes in terms of uniform quasi-wideness, a concept originating in finite model theory, has proved to be particularly useful. Uniform quasi-wideness is used in many fpt-algorithms on nowhere dense classes. However, the existing constructions showing the equivalence of nowhere denseness and uniform quasi-wideness imply a non-elementary blow up in the parameter dependence of the fpt-algorithms, making them infeasible in practice. #R##N#As a first main result of this paper, we use tools from logic, in particular from a subfield of model theory known as stability theory, to establish polynomial bounds for the equivalence of nowhere denseness and uniform quasi-wideness. #R##N#A powerful method in parameterized complexity theory is to compute a problem kernel in a pre-computation step, that is, to reduce the input instance in polynomial time to a sub-instance of size bounded in the parameter only (independently of the input graph size). Our new tools allow us to obtain for every fixed value of $r$ a polynomial kernel for the distance-$r$ dominating set problem on nowhere dense classes of graphs. This result is particularly interesting, as it implies that for every class $\mathcal{C}$ of graphs which is closed under subgraphs, the distance-$r$ dominating set problem admits a kernel on $\mathcal{C}$ for every value of $r$ if, and only if, it admits a polynomial kernel for every value of $r$ (under the standard assumption of parameterized complexity theory that $\mathrm{FPT} \neq W[2]$).

Connected through hyperedge HE-1 (induced by source paper "a general kernelization technique for domination and independence problems in sparse classes"):
  with members:
    - "kernelization and approximation of distance r independent sets on nowhere dense graphs"
    - "the generalised colouring numbers on classes of bounded expansion"
    - "characterising bounded expansion by neighbourhood complexity"
    - "bidimensionality and kernels"
    - "kernels for connected dominating set on graphs with excluded topological subgraphs"
    - "polynomial time data reduction for dominating set"

Connected through hyperedge HE-2 (induced by source paper "nowhere dense graph classes and algorithmic applications a tutorial at highlights of logic games and automata 2019"):
  with members:
    - "classes of graphs with low complexity the case of classes with bounded linear rankwidth"
    - "kernelization and approximation of distance r independent sets on nowhere dense graphs"
    - "empirical evaluation of approximation algorithms for generalized graph coloring and uniform quasi wideness"
    - "on low rank width colorings"
    - "distributed domination on graph classes of bounded expansion"
    - "on the number of types in sparse graphs"
    - "the generalised colouring numbers on classes of bounded expansion"
    - "deciding first order properties of nowhere dense graphs"

Connected through hyperedge HE-3 (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"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "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-4 (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"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"

Connected through hyperedge HE-5 (induced by source paper "critical edge identification a k truss based model"):
  with members:
    - "i o efficient core graph decomposition at web scale"
    - "truss decomposition in massive networks"

Connected through hyperedge HE-6 (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-7 (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"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "kernelization and sparseness the case of dominating set"

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"
    - "bidimensionality and kernels"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "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)