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: "fault tolerant facility location a randomized dependent lp rounding algorithm"
  Abstract: We give a new randomized LP-rounding 1.725-approximation algorithm for the metric Fault-Tolerant Uncapacitated Facility Location problem. This improves on the previously best known 2.076-approximation algorithm of Swamy & Shmoys. To the best of our knowledge, our work provides the first application of a dependent-rounding technique in the domain of facility location. The analysis of our algorithm benefits from, and extends, methods developed for Uncapacitated Facility Location; it also helps uncover new properties of the dependent-rounding approach.#R##N##R##N#An important concept that we develop is a novel, hierarchical clustering scheme. Typically, LP-rounding approximation algorithms for facility location problems are based on partitioning facilities into disjoint clusters and opening at least one facility in each cluster. We extend this approach and construct a laminar family of clusters, which then guides the rounding procedure: this allows us to exploit properties of dependent rounding, and provides a quite tight analysis resulting in the improved approximation ratio.

Connected through hyperedge HE-1 (induced by source paper "dependent randomized rounding for clustering and partition systems with knapsack constraints"):
  with members:
    - "on a generalization of iterated and randomized rounding"
    - "constant approximation for k median and k means with outliers via iterative rounding"
    - "sublinear time estimation of degree distribution moments the degeneracy connection"
    - "approximation friendly discrepancy rounding"
    - "matroid and knapsack center problems"
    - "approximating k median via pseudo approximation"

Connected through hyperedge HE-2 (induced by source paper "fairness in resource allocation and slowed down dependent rounding"):
  with members:
    - "matroid and knapsack center problems"
    - "approximating k median via pseudo approximation"

Connected through hyperedge HE-3 (induced by source paper "lp based algorithms for capacitated facility location"):
  with members:
    - "sherali adams gaps flow cover inequalities and generalized configurations for capacity constrained facility location"
    - "on allocating goods to maximize fairness"
    - "an optimal bifactor approximation algorithm for the metric uncapacitated facility location problem"
    - "greedy facility location algorithms analyzed using dual fitting with factor revealing lp"

Connected through hyperedge HE-4 (induced by source paper "a constant factor approximation algorithm for fault tolerant k median"):
  with members:
    - "a unified framework for clustering constrained data without locality property"
    - "an improved approximation for k median and positive correlation in budgeted optimization"
    - "improved approximation algorithm for fault tolerant facility placement"
    - "approximating k median via pseudo approximation"
    - "lp rounding algorithms for the fault tolerant facility placement problem"
    - "greedy facility location algorithms analyzed using dual fitting with factor revealing lp"

Connected through hyperedge HE-5 (induced by source paper "improved approximation algorithm for fault tolerant facility placement"):
  with members:
    - "analytical approach to parallel repetition"
    - "lp rounding algorithms for the fault tolerant facility placement problem"
    - "lp rounding algorithms for facility location problems"
    - "an optimal bifactor approximation algorithm for the metric uncapacitated facility location problem"

Connected through hyperedge HE-6 (induced by source paper "lp rounding algorithms for the fault tolerant facility placement problem"):
  with members:
    - "a constant factor approximation algorithm for fault tolerant k median"
    - "improved approximation algorithm for fault tolerant facility placement"
    - "unconstrained and constrained fault tolerant resource allocation"
    - "lp rounding algorithms for facility location problems"
    - "an optimal bifactor approximation algorithm for the metric uncapacitated facility location problem"
    - "greedy facility location algorithms analyzed using dual fitting with factor revealing lp"

Connected through hyperedge HE-7 (induced by source paper "approximating soft capacitated facility location problem with uncertainty"):
  with members:
    - "lp rounding algorithms for facility location problems"
    - "robust fault tolerant uncapacitated facility location"

Connected through hyperedge HE-8 (induced by source paper "unconstrained and constrained fault tolerant resource allocation"):
  with members:
    - "greedy facility location algorithms analyzed using dual fitting with factor revealing lp"

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)