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: "on policies for single leg revenue management with limited demand information"
  Abstract: In this paper we study the single-leg revenue management problem, with no information given about the demand trajectory over time. The competitive ratio for this problem has been established by Ball and Queyranne (2009) under the assumption of independent demand, i.e., demand for higher fare classes does not spill over to lower fare classes. We extend their results to general demand models to account for the buying-down phenomenon, by incorporating the price-skimming technique from Eren and Maglaras (2010). That is, we derive state-dependent price-skimming policies, which stochastically increase their price distributions as the inventory level decreases, in a way that yields the best-possible competitive ratio. Furthermore, our policies have the benefit that they can be easily adapted to exploit available demand information, such as the personal characteristics of an incoming online customer, while maintaining the competitive ratio guarantee. A key technical ingredient in our paper is a new `valuation tracking' subroutine, which tracks the possible values for the optimum, and follows the most inventory-conservative control which maintains the desired competitive ratio.

Connected through hyperedge HE-1 (induced by source paper "assortment auctions a myersonian characterization for markov chain based choice models"):
  with members:
    - "prophet inequalities on the intersection of a matroid and a graph"
    - "multi stage and multi customer assortment optimization with inventory constraints"
    - "prophet secretary through blind strategies"
    - "a duality based unified approach to bayesian mechanism design"
    - "dynamic pricing under a static calendar"
    - "improved approximations for free order prophets and second price auctions"
    - "welfare maximization and truthfulness in mechanism design with ordinal preferences"
    - "mechanism design via correlation gap"

Connected through hyperedge HE-2 (induced by source paper "dynamic pricing under a static calendar"):
  with members:
    - "inventory balancing with online learning"
    - "mnl bandit a dynamic learning approach to assortment selection"
    - "combinatorial auctions via posted prices"
    - "matroid prophet inequalities"

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)