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: "the h k server problem on bounded depth trees"
  Abstract: We study the $k$-server problem in the resource augmentation setting i.e., when the performance of the online algorithm with $k$ servers is compared to the offline optimal solution with $h \leq k$ servers. The problem is very poorly understood beyond uniform metrics. For this special case, the classic $k$-server algorithms are roughly $(1+1/\epsilon)$-competitive when $k=(1+\epsilon) h$, for any $\epsilon >0$. Surprisingly however, no $o(h)$-competitive algorithm is known even for HSTs of depth 2 and even when $k/h$ is arbitrarily large. #R##N#We obtain several new results for the problem. First we show that the known $k$-server algorithms do not work even on very simple metrics. In particular, the Double Coverage algorithm has competitive ratio $\Omega(h)$ irrespective of the value of $k$, even for depth-2 HSTs. Similarly the Work Function Algorithm, that is believed to be optimal for all metric spaces when $k=h$, has competitive ratio $\Omega(h)$ on depth-3 HSTs even if $k=2h$. Our main result is a new algorithm that is $O(1)$-competitive for constant depth trees, whenever $k =(1+\epsilon )h$ for any $\epsilon > 0$. Finally, we give a general lower bound that any deterministic online algorithm has competitive ratio at least 2.4 even for depth-2 HSTs and when $k/h$ is arbitrarily large. This gives a surprising qualitative separation between uniform metrics and depth-2 HSTs for the $(h,k)$-server problem, and gives the strongest known lower bound for the problem on general metrics.

Connected through hyperedge HE-1 (induced by source paper "reallocating multiple facilities on the line"):
  with members:
    - "the online k taxi problem"
    - "the infinite server problem"
    - "changing bases multistage optimization for matroids and matchings"
    - "facility location in evolving metrics"
    - "an algorithm for online k means clustering"
    - "dynamic facility location via exponential clocks"
    - "on the computation of fully proportional representation"

Connected through hyperedge HE-2 (induced by source paper "unbounded lower bound for k server against weak adversaries"):
  with members:
    - "the infinite server problem"
    - "fusible hsts and the randomized k server conjecture"
    - "ramsey type theorems for metric spaces with applications to online problems"
    - "the k server dual and loose competitiveness for paging"
    - "competitive paging algorithms"

Connected through hyperedge HE-3 (induced by source paper "the online k taxi problem"):
  with members:
    - "weighted k server bounds via combinatorial dichotomies"
    - "fusible hsts and the randomized k server conjecture"

Connected through hyperedge HE-4 (induced by source paper "k servers with a smile online algorithms via projections"):
  with members:
    - "fusible hsts and the randomized k server conjecture"

Connected through hyperedge HE-5 (induced by source paper "the infinite server problem"):
  with members:
    - "on the additive constant of the k server work function algorithm"
    - "the k server dual and loose competitiveness for paging"

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)