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: "online matching haste makes waste"
  Abstract: This paper studies a new online problem, referred to as \emph{min-cost perfect matching with delays (MPMD)}, defined over a finite metric space (i.e., a complete graph with positive edge weights obeying the triangle inequality) $\mathcal{M}$ that is known to the algorithm in advance. Requests arrive in a continuous time online fashion at the points of $\mathcal{M}$ and should be served by matching them to each other. The algorithm is allowed to delay its request matching commitments, but this does not come for free: the total cost of the algorithm is the sum of metric distances between matched requests \emph{plus} the sum of times each request waited since it arrived until it was matched. A randomized online MPMD algorithm is presented whose competitive ratio is $O (\log^{2} n + \log \Delta)$, where $n$ is the number of points in $\mathcal{M}$ and $\Delta$ is its aspect ratio. The analysis is based on a machinery developed in the context of a new stochastic process that can be viewed as two interleaved Poisson processes; surprisingly, this new process captures precisely the behavior of our algorithm. A related problem in which the algorithm is allowed to clear any unmatched request at a fixed penalty is also addressed. It is suggested that the MPMD problem is merely the tip of the iceberg for a general framework of online problems with delayed service that captures many more natural problems.

Connected through hyperedge HE-1 (induced by source paper "putting ridesharing to the test efficient and scalable solutions and the power of dynamic vehicle relocation"):
  with members:
    - "shared autonomous vehicle simulation and service design"
    - "dynamic trip vehicle dispatch with scheduled and on demand requests"
    - "optimization of ride sharing systems using event driven receding horizon control"
    - "anytime heuristic for weighted matching through altruism inspired behavior"
    - "the online k taxi problem"
    - "a primal dual online deterministic algorithm for matching with delays"
    - "spatio temporal pricing for ridesharing platforms"
    - "stochastic k server how should uber work"

Connected through hyperedge HE-2 (induced by source paper "permutation strikes back the power of recourse in online metric matching"):
  with members:
    - "stochastic online metric matching"
    - "optimal analysis of an online algorithm for the bipartite matching problem on a line"
    - "maintaining perfect matchings at low cost"
    - "fully dynamic bin packing with limited repacking"
    - "a match in time saves nine deterministic online matching with delays"
    - "a collection of lower bounds for online matching on the line"
    - "online and dynamic algorithms for set cover"
    - "new algorithms better bounds and a novel model for online stochastic matching"

Connected through hyperedge HE-3 (induced by source paper "on bin packing with clustering and bin packing with delays"):
  with members:
    - "a new lower bound for classic online bin packing"
    - "a new and improved algorithm for online bin packing"
    - "online service with delay"
    - "a match in time saves nine deterministic online matching with delays"

Connected through hyperedge HE-4 (induced by source paper "general framework for metric optimization problems with delay or with deadlines"):
  with members:
    - "a primal dual online deterministic algorithm for matching with delays"
    - "online service with delay"
    - "a match in time saves nine deterministic online matching with delays"

Connected through hyperedge HE-5 (induced by source paper "quick or cheap breaking points in dynamic markets"):
  with members:
    - "on matching and thickness in heterogeneous dynamic markets"
    - "online vertex weighted bipartite matching and single bid budgeted allocations"

Connected through hyperedge HE-6 (induced by source paper "set cover and vertex cover with delay"):
  with members:
    - "a primal dual online deterministic algorithm for matching with delays"
    - "deterministic min cost matching with delays"
    - "online service with delay"
    - "a match in time saves nine deterministic online matching with delays"
    - "online and dynamic algorithms for set cover"
    - "the online disjoint set cover problem and its applications"
    - "semi streaming set cover"
    - "minimum latency submodular cover"

Connected through hyperedge HE-7 (induced by source paper "maximizing efficiency in dynamic matching markets"):
  with members:
    - "how to match when all vertices arrive online"
    - "online matching in a ride sharing platform"
    - "on matching and thickness in heterogeneous dynamic markets"
    - "kidney exchange in dynamic sparse heterogenous pools"
    - "online stochastic matching beating 1 1 e"

Connected through hyperedge HE-8 (induced by source paper "maximum weight online matching with deadlines"):
  with members:
    - "how to match when all vertices arrive online"
    - "on matching and thickness in heterogeneous dynamic markets"
    - "online stochastic matching beating 1 1 e"
    - "combinatorial auctions with decreasing marginal utilities"

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)