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: "how unsplittable flow covering helps scheduling with job dependent cost functions"
  Abstract: Generalizing many well-known and natural scheduling problems, scheduling with job-specific cost functions has gained a lot of attention recently. In this setting, each job incurs a cost depending on its completion time, given by a private cost function, and one seeks to schedule the jobs to minimize the total sum of these costs. The framework captures many important scheduling objectives such as weighted flow time or weighted tardiness. Still, the general case as well as the mentioned special cases are far from being very well understood yet, even for only one machine. Aiming for better general understanding of this problem, in this paper we focus on the case of uniform job release dates on one machine for which the state of the art is a 4-approximation algorithm. This is true even for a special case that is equivalent to the covering version of the well-studied and prominent unsplittable flow on a path problem, which is interesting in its own right. For that covering problem, we present a quasi-polynomial time $(1+\epsilon)$-approximation algorithm that yields an $(e+\epsilon)$-approximation for the above scheduling problem. Moreover, for the latter we devise the best possible resource augmentation result regarding speed: a polynomial time algorithm which computes a solution with \emph{optimal }cost at $1+\epsilon$ speedup. Finally, we present an elegant QPTAS for the special case where the cost functions of the jobs fall into at most $\log n$ many classes. This algorithm allows the jobs even to have up to $\log n$ many distinct release dates.

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"
    - "the geometry of scheduling"

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"
    - "the local global conjecture for scheduling with non linear cost"
    - "dual techniques for scheduling on a machine with varying speed"
    - "the geometry of scheduling"

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"
    - "on column restricted and priority covering integer programs"
    - "the geometry of scheduling"

Connected through hyperedge HE-4 (induced by source paper "a primal dual approximation algorithm for min sum single machine scheduling problems"):
  with members:
    - "dual techniques for scheduling on a machine with varying speed"
    - "the geometry of scheduling"
    - "approximability of sparse integer programs"
    - "scheduling with outliers"

Connected through hyperedge HE-5 (induced by source paper "primal dual and dual fitting analysis of online scheduling algorithms for generalized flow time problems"):
  with members:
    - "competitive algorithms from competitive equilibria non clairvoyant scheduling under polyhedral constraints"
    - "selfishmigrate a scalable algorithm for non clairvoyantly scheduling heterogeneous processors"
    - "online primal dual for non linear optimization with applications to speed scaling"
    - "the geometry of scheduling"
    - "greedy facility location algorithms analyzed using dual fitting with factor revealing lp"

Connected through hyperedge HE-6 (induced by source paper "a polynomial time approximation scheme for the airplane refueling problem"):
  with members:
    - "a primal dual approximation algorithm for min sum single machine scheduling problems"
    - "polynomial time approximation schemes for the traveling repairman and other minimum latency problems"
    - "dual techniques for scheduling on a machine with varying speed"
    - "the geometry of scheduling"

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)