human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "slaying hydrae improved bounds for generalized k server in uniform metrics"):
  Abstract: The generalized $k$-server problem is an extension of the weighted $k$-server problem, which in turn extends the classic $k$-server problem. In the generalized $k$-server problem, each of $k$ servers $s_1, \dots, s_k$ remains in its own metric space $M_i$. A request is a tuple $(r_1,\dots,r_k)$, where $r_i \in M_i$, and to service it, an algorithm needs to move at least one server $s_i$ to the point $r_i$. The objective is to minimize the total distance traveled by all servers. #R##N#In this paper, we focus on the generalized $k$-server problem for the case where all $M_i$ are uniform metrics. We show an $O(k^2 \cdot \log k)$-competitive randomized algorithm improving over a recent result by Bansal et al. [SODA 2018], who gave an $O(k^3 \cdot \log k)$-competitive algorithm. To this end, we define an abstract online problem, called Hydra game, and we show that a randomized solution of low cost to this game implies a randomized algorithm to the generalized $k$-server problem with low competitive ratio. #R##N#We also show that no randomized algorithm can achieve competitive ratio lower than $\Omega(k)$, thus improving the lower bound of $\Omega(k / \log^2 k)$ by Bansal et al.

Includes members:
  Member "weighted k server bounds via combinatorial dichotomies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the online min sum set cover problem")
  Member "fusible hsts and the randomized k server conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "understand dynamic regret with switching cost for online decision making")
  Member "competitive algorithms for generalized k server in uniform metrics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the online min sum set cover problem")
  Member "on randomized memoryless algorithms for the weighted k server problem":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "weighted k server bounds via combinatorial dichotomies")
  Member "the generalized work function algorithm is competitive for the generalized 2 server problem":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the online min sum set cover problem")
  Member "ramsey type theorems for metric spaces with applications to online problems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "competitive ratio versus regret minimization achieving the best of both worlds")

Question: Please tell me which class the source paper 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)