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: "augmenting graphs to minimize the diameter"
  Abstract: We study the problem of augmenting a weighted graph by inserting edges of bounded total cost while minimizing the diameter of the augmented graph. Our main result is an FPT 4-approximation algorithm for the problem.

Connected through hyperedge HE-1 (induced by source paper "a linear time algorithm for radius optimally augmenting paths in a metric space"):
  with members:
    - "almost optimal algorithms for diameter optimally augmenting trees"
    - "an improved algorithm for diameter optimally augmenting paths in a metric space"
    - "fast algorithms for diameter optimally augmenting paths and trees"
    - "minimizing the continuous diameter when augmenting a tree with a shortcut"
    - "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"

Connected through hyperedge HE-2 (induced by source paper "computing optimal shortcuts for networks"):
  with members:
    - "minimizing the continuous diameter when augmenting a tree with a shortcut"
    - "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"

Connected through hyperedge HE-3 (induced by source paper "improving the betweenness centrality of a node by adding links"):
  with members:
    - "computing top k closeness centrality faster in unweighted graphs"
    - "faster betweenness centrality updates in evolving networks"
    - "kadabra is an adaptive algorithm for betweenness via random approximation"
    - "abra approximating betweenness centrality in static and dynamic graphs with rademacher averages"
    - "scalable betweenness centrality maximization via sampling"
    - "approximating betweenness centrality in fully dynamic networks"
    - "approximation algorithms for reducing the spectral radius to control epidemic spread"
    - "networkit a tool suite for large scale complex network analysis"

Connected through hyperedge HE-4 (induced by source paper "minimizing the continuous diameter when augmenting a geometric tree with a shortcut"):
  with members:
    - "an improved algorithm for diameter optimally augmenting paths in a metric space"
    - "fast algorithms for diameter optimally augmenting paths and trees"
    - "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"

Connected through hyperedge HE-5 (induced by source paper "an improved algorithm for diameter optimally augmenting paths in a metric space"):
  with members:
    - "minimizing the continuous diameter when augmenting a tree with a shortcut"
    - "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"

Connected through hyperedge HE-6 (induced by source paper "minimizing the continuous diameter when augmenting a tree with a shortcut"):
  with members:
    - "fast algorithms for diameter optimally augmenting paths and trees"
    - "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"

Connected through hyperedge HE-7 (induced by source paper "a polynomial time algorithm for outerplanar diameter improvement"):
  with members:
    - "planar disjoint paths completion"
    - "2 connecting outerplanar graphs without blowing up the pathwidth"

Connected through hyperedge HE-8 (induced by source paper "parameterized approximation schemes using graph widths"):
  with members:
    - "approximating the maxcover problem with bounded frequencies in fpt time"
    - "parameterized in approximability of subset problems"
    - "not so easy problems for tree decomposable graphs"
    - "the parameterised complexity of list problems on graphs of bounded treewidth"
    - "approximation schemes for steiner forest on planar graphs and graphs of bounded treewidth"

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)