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: "generalized multiple depot traveling salesmen problem polyhedral study and exact algorithm"
  Abstract: The generalized multiple depot traveling salesmen problem (GMDTSP) is a variant of the multiple depot traveling salesmen problem (MDTSP), where each salesman starts at a distinct depot, the targets are partitioned into clusters and at least one target in each cluster is visited by some salesman. The GMDTSP is an NP-hard problem as it generalizes the MDTSP and has practical applications in design of ring networks, vehicle routing, flexible manufacturing scheduling and postal routing. We present an integer programming formulation for the GMDTSP and valid inequalities to strengthen the linear programming relaxation. Furthermore, we present a polyhedral analysis of the convex hull of feasible solutions to the GMDTSP and derive facet-defining inequalities that strengthen the linear programming relaxation of the GMDTSP. All these results are then used to develop a branch-and-cut algorithm to obtain optimal solutions to the problem. The performance of the algorithm is evaluated through extensive computational experiments on several benchmark instances.

Connected through hyperedge HE-1 (induced by source paper "an approximation algorithm for a task allocation sequencing and scheduling problem involving a human robot team"):
  with members:
    - "agricultural robotics the future of robotic agriculture"
    - "julia a fresh approach to numerical computing"
    - "algorithms for routing an unmanned aerial vehicle in the presence of refueling depots"

Connected through hyperedge HE-2 (induced by source paper "sampling based tour generation of arbitrarily oriented dubins sensor platforms"):
  with members:
    - "informative path planning and mapping with multiple uavs in wind fields"
    - "approximation algorithms for tsp with neighborhoods in the plane"

Connected through hyperedge HE-3 (induced by source paper "path planning for multiple heterogeneous unmanned vehicles with uncertain service times"):
  with members:
    - "analysis of mixed integer linear programming formulations for a fuel constrained multiple vehicle routing problem"
    - "formulations and algorithms for the multiple depot fuel constrained multiple vehicle routing problem"
    - "algorithms for routing an unmanned aerial vehicle in the presence of refueling depots"

Connected through hyperedge HE-4 (induced by source paper "analysis of mixed integer linear programming formulations for a fuel constrained multiple vehicle routing problem"):
  with members:
    - "formulations and algorithms for the multiple depot fuel constrained multiple vehicle routing problem"
    - "algorithms for routing an unmanned aerial vehicle in the presence of refueling depots"

Connected through hyperedge HE-5 (induced by source paper "routing unmanned vehicles in gps denied environments"):
  with members:
    - "formulations and algorithms for the multiple depot fuel constrained multiple vehicle routing problem"

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)