human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "better unrelated machine scheduling for weighted completion time via random offsets from non uniform distributions"
  Abstract: In this paper we consider the classic scheduling problem of minimizing total weighted completion time on unrelated machines when jobs have release times, i.e, $R | r_{ij} | \sum_j w_j C_j$ using the three-field notation. For this problem, a 2-approximation is known based on a novel convex programming (J. ACM 2001 by Skutella). It has been a long standing open problem if one can improve upon this 2-approximation (Open Problem 8 in J. of Sched. 1999 by Schuurman and Woeginger). We answer this question in the affirmative by giving a 1.8786-approximation. We achieve this via a surprisingly simple linear programming, but a novel rounding algorithm and analysis. A key ingredient of our algorithm is the use of random offsets sampled from non-uniform distributions. #R##N#We also consider the preemptive version of the problem, i.e, $R | r_{ij},pmtn | \sum_j w_j C_j$. We again use the idea of sampling offsets from non-uniform distributions to give the first better than 2-approximation for this problem. This improvement also requires use of a configuration LP with variables for each job's complete schedules along with more careful analysis. For both non-preemptive and preemptive versions, we break the approximation barrier of 2 for the first time.

Connected through hyperedge HE-1 (induced by source paper "weighted completion time minimization for unrelated machines via iterative fair contention resolution"):
  with members:
    - "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"
    - "unrelated machine scheduling of jobs with uniform smith ratios"
    - "lift and round to improve weighted completion time on unrelated machines"
    - "minimizing flow time on unrelated machines"
    - "santa claus schedules jobs on unrelated machines"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-2 (induced by source paper "a note on the asymptotic optimality of work conserving disciplines in completion time minimization"):
  with members:
    - "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"
    - "a 2 542 approximation for precedence constrained single machine scheduling with release dates and total weighted completion time objective"
    - "lift and round to improve weighted completion time on unrelated machines"

Connected through hyperedge HE-3 (induced by source paper "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"):
  with members:
    - "a 2 542 approximation for precedence constrained single machine scheduling with release dates and total weighted completion time objective"
    - "on the configuration lp of the restricted assignment problem"
    - "lift and round to improve weighted completion time on unrelated machines"
    - "a 1 epsilon approximation for makespan scheduling with precedence constraints using lp hierarchies"
    - "towards tight lower bounds for scheduling problems"
    - "santa claus schedules jobs on unrelated machines"
    - "the geometry of scheduling"

Connected through hyperedge HE-4 (induced by source paper "stochastic online scheduling on unrelated machines"):
  with members:
    - "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"
    - "lift and round to improve weighted completion time on unrelated machines"
    - "selfishmigrate a scalable algorithm for non clairvoyantly scheduling heterogeneous processors"
    - "inner product spaces for minsum coordination mechanisms"

Connected through hyperedge HE-5 (induced by source paper "on the optimality of scheduling dependent mapreduce tasks on heterogeneous machines"):
  with members:
    - "scheduling distributed clusters of parallel machines primal dual and lp based approximation algorithms"
    - "scheduling mapreduce jobs under multi round precedences"
    - "lift and round to improve weighted completion time on unrelated machines"

Question: Please tell me which class the center node 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)