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 "approximate multi matroid intersection via iterative refinement"):
  Abstract: We introduce a new iterative rounding technique to round a point in a matroid polytope subject to further matroid constraints. This technique returns an independent set in one matroid with limited violations of the other ones. On top of the classical steps of iterative relaxation approaches, we iteratively refine/split involved matroid constraints to obtain a more restrictive constraint system, that is amenable to iterative relaxation techniques. Hence, throughout the iterations, we both tighten constraints and later relax them by dropping constrains under certain conditions. Due to the refinement step, we can deal with considerably more general constraint classes than existing iterative relaxation/rounding methods, which typically round on one matroid polytope with additional simple cardinality constraints that do not overlap too much. #R##N#We show how our rounding method, combined with an application of a matroid intersection algorithm, yields the first $2$-approximation for finding a maximum-weight common independent set in $3$ matroids. Moreover, our $2$-approximation is LP-based, and settles the integrality gap for the natural relaxation of the problem. Prior to our work, no better upper bound than $3$ was known for the integrality gap, which followed from the greedy algorithm. We also discuss various other applications of our techniques, including an extension that allows us to handle a mixture of matroid and knapsack constraints.

Includes members:
  Member "generalized hypergraph matching via iterated packing and local ratio":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "integrality gaps for bounded color matchings")
  Member "improved approximation for 3 dimensional matching via bounded pathwidth local search":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a fast approximation scheme for low dimensional k means")
  Member "matroidal degree bounded minimum spanning trees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "degree bounded generalized polymatroids and approximating the metric many visits tsp")
  Member "submodular function maximization via the multilinear relaxation and contention resolution schemes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "approximability of monotone submodular function maximization under cardinality and matroid constraints in the streaming model")
  Member "robust and maxmin optimization under matroid and knapsack uncertainty sets":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "approximation algorithms for distributionally robust stochastic optimization with black box distributions")
  Member "constrained non monotone submodular maximization offline and secretary algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "submodular matroid secretary problem with shortlists")
  Member "on generalizations of network design problems with degree bounds":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a spectral approach to network design")

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)