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: "competitive algorithms for generalized k server in uniform metrics"
  Abstract: The generalized k-server problem is a far-reaching extension of the k-server problem with several applications. Here, each server $s_i$ lies in its own metric space $M_i$. A request is a k-tuple $r = (r_1,r_2,\dotsc,r_k)$ and to serve it, we need to move some server $s_i$ to the point $r_i \in M_i$, and the goal is to minimize the total distance traveled by the servers. Despite much work, no f(k)-competitive algorithm is known for the problem for k > 2 servers, even for special cases such as uniform metrics and lines. #R##N#Here, we consider the problem in uniform metrics and give the first f(k)-competitive algorithms for general k. In particular, we obtain deterministic and randomized algorithms with competitive ratio $O(k 2^k)$ and $O(k^3 \log k)$ respectively. Our deterministic bound is based on a novel application of the polynomial method to online algorithms, and essentially matches the long-known lower bound of $2^k-1$. We also give a $2^{2^{O(k)}}$-competitive deterministic algorithm for weighted uniform metrics, which also essentially matches the recent doubly exponential lower bound for the problem.

Connected through hyperedge HE-1 (induced by source paper "the online min sum set cover problem"):
  with members:
    - "chasing convex bodies optimally"
    - "stochastic online metric matching"
    - "pure entropic regularization for metrical task systems"
    - "metrical task systems on trees via mirror descent and unfair gluing"
    - "weighted k server bounds via combinatorial dichotomies"
    - "a static optimality transformation with applications to planar point location"
    - "the generalized work function algorithm is competitive for the generalized 2 server problem"
    - "a note on the generalized min sum set cover problem"

Connected through hyperedge HE-2 (induced by source paper "computing the chromatic number using graph decompositions via matrix rank"):
  with members:
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "cutwidth obstructions and algorithmic aspects"
    - "coloring graphs having few colorings over path decompositions"
    - "between treewidth and clique width"
    - "parameterized algorithms for modular width"
    - "speeding up dynamic programming with representative sets an experimental evaluation of algorithms for steiner tree on tree decompositions"
    - "data reduction for graph coloring problems"
    - "fast hamiltonicity checking via bases of perfect matchings"

Connected through hyperedge HE-3 (induced by source paper "slaying hydrae improved bounds for generalized k server in uniform metrics"):
  with members:
    - "weighted k server bounds via combinatorial dichotomies"
    - "fusible hsts and the randomized k server conjecture"
    - "on randomized memoryless algorithms for the weighted k server problem"
    - "the generalized work function algorithm is competitive for the generalized 2 server problem"
    - "ramsey type theorems for metric spaces with applications to online problems"

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)