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: "randomized speedup of the bellman ford algorithm"
  Abstract: We describe a variant of the Bellman-Ford algorithm for single-source shortest paths in graphs with negative edges but no negative cycles that randomly permutes the vertices and uses this randomized order to process the vertices within each pass of the algorithm. The modification reduces the worst-case expected number of relaxation steps of the algorithm, compared to the previously-best variant by Yen (1970), by a factor of 2/3 with high probability. We also use our high probability bound to add negative cycle detection to the randomized algorithm.

Connected through hyperedge HE-1 (induced by source paper "bounded dijkstra bd search space reduction for expediting shortest path subroutines"):
  with members:
    - "routing metrics depending on previous edges the mn taxonomy and its corresponding solutions"
    - "route planning in transportation networks"
    - "fast exact shortest path distance queries on large networks by pruned landmark labeling"

Connected through hyperedge HE-2 (induced by source paper "a survey of shortest path algorithms"):
  with members:
    - "faster parametric shortest path and minimum balance algorithms"
    - "dynamic approximate all pairs shortest paths breaking the o mn barrier and derandomization"
    - "transit node routing reconsidered"
    - "linear space approximate distance oracles for planar bounded genus and minor free graphs"
    - "exact distance oracles for planar graphs"
    - "fast paths in large scale dynamic road networks"

Connected through hyperedge HE-3 (induced by source paper "improved bounds for shortest paths in dense distance graphs"):
  with members:
    - "submatrix maximum queries in monge matrices are equivalent to predecessor search"
    - "faster shortest paths in dense distance graphs with applications"
    - "all pairs minimum cuts in near linear time for surface embedded graphs"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "min st cut oracle for planar graphs with near linear preprocessing time"
    - "exact distance oracles for planar graphs"
    - "shortest paths in planar graphs with real lengths in o n log 2n log log n time"

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)