human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "the generalised colouring numbers on classes of bounded expansion":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a general kernelization technique for domination and independence problems in sparse classes")
  Member "characterising bounded expansion by neighbourhood complexity":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a general kernelization technique for domination and independence problems in sparse classes")
  Member "polynomial kernels and wideness properties of nowhere dense graph classes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a general kernelization technique for domination and independence problems in sparse classes")
  Member "bidimensionality and kernels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "hitting topological minors is fpt")
  Member "kernelization and sparseness the case of dominating set":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "domination above r independence does sparseness help")
  Member "kernels for connected dominating set on graphs with excluded topological subgraphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a general kernelization technique for domination and independence problems in sparse classes")
  Member "homomorphism preservation on quasi wide classes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "empirical evaluation of approximation algorithms for generalized graph coloring and uniform quasi wideness")
  Member "polynomial time data reduction for dominating set":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a general kernelization technique for domination and independence problems in sparse classes")

Question: Please tell me which class the source paper 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)