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: "the geometry of scheduling"
  Abstract: We consider the following general scheduling problem: The input consists of n jobs, each with an arbitrary release time, size, and a monotone function specifying the cost incurred when the job is completed at a particular time. The objective is to find a preemptive schedule of minimum aggregate cost. This problem formulation is general enough to include many natural scheduling objectives, such as weighted flow, weighted tardiness, and sum of flow squared. Our main result is a randomized polynomial-time algorithm with an approximation ratio O(log log nP), where P is the maximum job size. We also give an O(1) approximation in the special case when all jobs have identical release times. The main idea is to reduce this scheduling problem to a particular geometric set-cover problem which is then solved using the local ratio technique and Varadarajan's quasi-uniform sampling technique. This general algorithmic approach improves the best known approximation ratios by at least an exponential factor (and much more in some cases) for essentially all of the nontrivial common special cases of this problem. Our geometric interpretation of scheduling may be of independent interest.

Connected through hyperedge HE-1 (induced by source paper "a water filling primal dual algorithm for approximating non linear covering problems"):
  with members:
    - "geometry of scheduling on multiple machines"
    - "scheduling to approximate minimization objectives on identical machines"
    - "constant approximation algorithm for non uniform capacitated multi item lot sizing via strong covering inequalities"
    - "small extended formulation for knapsack cover inequalities from monotone circuits"
    - "a primal dual approximation algorithm for min sum single machine scheduling problems"
    - "lp based algorithms for capacitated facility location"
    - "how unsplittable flow covering helps scheduling with job dependent cost functions"

Connected through hyperedge HE-2 (induced by source paper "a fast exact algorithm for airplane refueling problem"):
  with members:
    - "a primal dual approximation algorithm for min sum single machine scheduling problems"
    - "a polynomial time approximation scheme for the airplane refueling problem"
    - "how unsplittable flow covering helps scheduling with job dependent cost functions"
    - "the local global conjecture for scheduling with non linear cost"
    - "dual techniques for scheduling on a machine with varying speed"

Connected through hyperedge HE-3 (induced by source paper "geometry of scheduling on multiple machines"):
  with members:
    - "scheduling to approximate minimization objectives on identical machines"
    - "a polynomial time constant approximation for minimizing total weighted flow time"
    - "a primal dual approximation algorithm for min sum single machine scheduling problems"
    - "how unsplittable flow covering helps scheduling with job dependent cost functions"
    - "on column restricted and priority covering integer programs"

Connected through hyperedge HE-4 (induced by source paper "a unifying optimal control framework for online job scheduling with general cost functions"):
  with members:
    - "scheduling to approximate minimization objectives on identical machines"
    - "stochastic online scheduling on unrelated machines"
    - "competitive algorithms from competitive equilibria non clairvoyant scheduling under polyhedral constraints"
    - "selfishmigrate a scalable algorithm for non clairvoyantly scheduling heterogeneous processors"

Connected through hyperedge HE-5 (induced by source paper "scheduling to approximate minimization objectives on identical machines"):
  with members:
    - "a primal dual approximation algorithm for min sum single machine scheduling problems"
    - "a 4 approximation for scheduling on a single machine with general cost function"

Connected through hyperedge HE-6 (induced by source paper "flow time optimization for concurrent open shop and precedence constrained scheduling models"):
  with members:
    - "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"
    - "an improved bound for minimizing the total weighted completion time of coflows in datacenters"
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"
    - "a 1 epsilon approximation for makespan scheduling with precedence constraints using lp hierarchies"
    - "competitive algorithms from competitive equilibria non clairvoyant scheduling under polyhedral constraints"
    - "selfishmigrate a scalable algorithm for non clairvoyantly scheduling heterogeneous processors"

Connected through hyperedge HE-7 (induced by source paper "constant factor approximation algorithm for weighted flow time on a single machine in pseudo polynomial time"):
  with members:
    - "on column restricted and priority covering integer programs"

Connected through hyperedge HE-8 (induced by source paper "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"):
  with members:
    - "better unrelated machine scheduling for weighted completion time via random offsets from non uniform distributions"
    - "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"

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)