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 "empirical evaluation of approximation algorithms for generalized graph coloring and uniform quasi wideness"):
  Abstract: The notions of bounded expansion and nowhere denseness not only offer robust and general definitions of uniform sparseness of graphs, they also describe the tractability boundary for several important algorithmic questions. In this paper we study two structural properties of these graph classes that are of particular importance in this context, namely the property of having bounded generalized coloring numbers and the property of being uniformly quasi-wide. We provide experimental evaluations of several algorithms that approximate these parameters on real-world graphs. On the theoretical side, we provide a new algorithm for uniform quasi-wideness with polynomial size guarantees in graph classes of bounded expansion and show a lower bound indicating that the guarantees of this algorithm are close to optimal in graph classes with fixed excluded minor.

Includes members:
  Member "exactly solving the maximum weight independent set problem on large real world graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "finding all global minimum cuts in practice")
  Member "experimental evaluation of kernelization algorithms to dominating set":
    also connected through other hyperedges:
      (none)
  Member "polynomial bounds for centered colorings on proper minor closed graph classes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "hamiltonian cycle parameterized by treedepth in single exponential time and polynomial space")
  Member "kernelization and approximation of distance r independent sets on nowhere dense graphs":
    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 "distributed domination on graph classes of bounded expansion":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "nowhere dense graph classes and algorithmic applications a tutorial at highlights of logic games and automata 2019")
  Member "reconfiguration on nowhere dense graph classes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the parameterized complexity of reconfiguration of connected dominating sets")
  Member "positive instance driven dynamic programming for treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "finding all global minimum cuts in practice")
  Member "experimental evaluation of counting subgraph isomorphisms in classes of bounded expansion":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a color avoiding approach to subgraph counting in bounded expansion 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)