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 "weighted completion time minimization for unrelated machines via iterative fair contention resolution"):
  Abstract: We give a 1.488-approximation for the classic scheduling problem of minimizing total weighted completion time on unrelated machines. This is a considerable improvement on the recent breakthrough of $(1.5 - 10^{-7})$-approximation (STOC 2016, Bansal-Srinivasan-Svensson) and the follow-up result of $(1.5 - 1/6000)$-approximation (FOCS 2017, Li). Bansal et al. introduced a novel rounding scheme yielding strong negative correlations for the first time and applied it to the scheduling problem to obtain their breakthrough, which resolved the open problem if one can beat out the long-standing $1.5$-approximation barrier based on independent rounding. Our key technical contribution is in achieving significantly stronger negative correlations via iterative fair contention resolution, which is of independent interest. Previously, Bansal et al. obtained strong negative correlations via a variant of pipage type rounding and Li used it as a black box.

Includes members:
  Member "scheduling to minimize total weighted completion time via time indexed linear programming relaxations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a note on the asymptotic optimality of work conserving disciplines in completion time minimization")
  Member "unrelated machine scheduling of jobs with uniform smith ratios":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "generalizing the kawaguchi kyan bound to stochastic parallel machine scheduling")
  Member "better unrelated machine scheduling for weighted completion time via random offsets from non uniform distributions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a note on the asymptotic optimality of work conserving disciplines in completion time minimization")
  Member "lift and round to improve weighted completion time on unrelated machines":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a note on the asymptotic optimality of work conserving disciplines in completion time minimization")
  Member "minimizing flow time on unrelated machines":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "better unrelated machine scheduling for weighted completion time via random offsets from non uniform distributions")
  Member "santa claus schedules jobs on unrelated machines":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "inapproximability results for scheduling with interval and resource restrictions")
  Member "on allocating goods to maximize fairness":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "heterogeneous coded computation across heterogeneous workers")

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)