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 "fpt algorithms for diverse collections of hitting sets"):
  Abstract: In this work, we study the d-Hitting Set and Feedback Vertex Set problems through the paradigm of finding diverse collections of r solutions of size at most k each, which has recently been introduced to the field of parameterized complexity. This paradigm is aimed at addressing the loss of important side information which typically occurs during the abstraction process that models real-world problems as computational problems. We use two measures for the diversity of such a collection: the sum of all pairwise Hamming distances, and the minimum pairwise Hamming distance. We show that both problems are fixed-parameter tractable in     k + r     for both diversity measures. A key ingredient in our algorithms is a (problem independent) network flow formulation that, given a set of ‘base’ solutions, computes a maximally diverse collection of solutions. We believe that this could be of independent interest.

Includes members:
  Member "diversity in combinatorial optimization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "composing dynamic programming tree decomposition based algorithms")
  Member "preparing for the unexpected diversity improves planning resilience in evolutionary algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "grand challenges of resilience autonomous system resilience through design and runtime measures")
  Member "discrepancy based evolutionary diversity optimization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "evolutionary diversity optimization using multi objective indicators")
  Member "maximum volume subset selection for anchored boxes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "polynomial algorithms for p dispersion problems in a 2d pareto front")
  Member "faster deterministic feedback vertex set":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hitting long directed cycles is fixed parameter tractable")
  Member "cutset sampling with likelihood weighting":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cutset sampling for bayesian networks")
  Member "approximation algorithms for secondary spectrum auctions":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "minimal change integrity maintenance using tuple deletions":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "complexity and efficient algorithms for data inconsistency evaluating and repairing")

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.DS(Data Structures and Algorithms)