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 number of types in sparse graphs"
  Abstract: We prove that for every class of graphs $\mathcal{C}$ which is nowhere dense, as defined by Nesetril and Ossona de Mendez, and for every first order formula $\phi(\bar x,\bar y)$, whenever one draws a graph $G\in \mathcal{C}$ and a subset of its nodes $A$, the number of subsets of $A^{|\bar y|}$ which are of the form $\{\bar v\in A^{|\bar y|}\, \colon\, G\models\phi(\bar u,\bar v)\}$ for some valuation $\bar u$ of $\bar x$ in $G$ is bounded by $\mathcal{O}(|A|^{|\bar x|+\epsilon})$, for every $\epsilon>0$. This provides optimal bounds on the VC-density of first-order definable set systems in nowhere dense graph classes. #R##N#We also give two new proofs of upper bounds on quantities in nowhere dense classes which are relevant for their logical treatment. Firstly, we provide a new proof of the fact that nowhere dense classes are uniformly quasi-wide, implying explicit, polynomial upper bounds on the functions relating the two notions. Secondly, we give a new combinatorial proof of the result of Adler and Adler stating that every nowhere dense class of graphs is stable. In contrast to the previous proofs of the above results, our proofs are completely finitistic and constructive, and yield explicit and computable upper bounds on quantities related to uniform quasi-wideness (margins) and stability (ladder indices).

Connected through hyperedge HE-1 (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"
    - "the generalised colouring numbers on classes of bounded expansion"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "deciding first order properties of nowhere dense graphs"

Connected through hyperedge HE-2 (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"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"

Connected through hyperedge HE-3 (induced by source paper "query preserving watermarking schemes for locally treelike databases"):
  with members:
    - "deciding first order properties of nowhere dense graphs"
    - "algorithmic meta theorems"
    - "deciding first order properties of locally tree decomposable structures"
    - "fixed parameter tractability definability and model checking"

Connected through hyperedge HE-4 (induced by source paper "classes of graphs with low complexity the case of classes with bounded linear rankwidth"):
  with members:
    - "reconfiguration on sparse graphs"
    - "deciding first order properties of nowhere dense graphs"
    - "solving dominating set in larger classes of graphs fpt algorithms and polynomial kernels"

Connected through hyperedge HE-5 (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-6 (induced by source paper "progressive algorithms for domination and independence"):
  with members:
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "kernelization and sparseness the case of dominating set"

Connected through hyperedge HE-7 (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"
    - "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"
    - "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)