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: "covering cubes and the closest vector problem"
  Abstract: We provide the currently fastest randomized (1+epsilon)-approximation algorithm for the closest vector problem in the infinity norm. The running time of our method depends on the dimension n and the approximation guarantee epsilon by 2^O(n) (log 1/epsilon)^O(n)$ which improves upon the (2+1/epsilon)^O(n) running time of the previously best algorithm by Bl\"omer and Naewe. #R##N#Our algorithm is based on a solution of the following geometric covering problem that is of interest of its own: Given epsilon in (0,1), how many ellipsoids are necessary to cover the cube [-1+epsilon, 1-epsilon]^n such that all ellipsoids are contained in the standard unit cube [-1,1]^n? We provide an almost optimal bound for the case where the ellipsoids are restricted to be axis-parallel. #R##N#We then apply our covering scheme to a variation of this covering problem where one wants to cover [-1+epsilon,1-epsilon]^n with parallelepipeds that, if scaled by two, are still contained in the unit cube. Thereby, we obtain a method to boost any 2-approximation algorithm for closest-vector in the infinity norm to a (1+epsilon)-approximation algorithm that has the desired running time.

Connected through hyperedge HE-1 (induced by source paper "faster provable sieving algorithms for the shortest vector problem and the closest vector problem on lattices in 120001 p norm"):
  with members:
    - "the projection games conjecture and the hardness of approximation of ssat and related problems"
    - "improved algorithms for the shortest vector problem and the closest vector problem in the infinity norm"
    - "gap s eth hardness of svp"
    - "just take the average an embarrassingly simple 2 n time algorithm for svp and cvp"
    - "on the quantitative hardness of cvp"
    - "solving the shortest vector problem in 2 n time via discrete gaussian sampling"
    - "near optimal deterministic algorithms for volume computation via m ellipsoids"
    - "classical hardness of learning with errors"

Connected through hyperedge HE-2 (induced by source paper "covering convex bodies and the closest vector problem"):
  with members:
    - "on compact representations of voronoi cells of lattices"
    - "just take the average an embarrassingly simple 2 n time algorithm for svp and cvp"
    - "a deterministic polynomial space construction for eps nets under any norm"
    - "lattice sparsification and the approximate closest vector problem"
    - "a o 1 eps 2 n time sieving algorithm for approximate integer programming"
    - "enumerative lattice algorithms in any norm via m ellipsoid coverings"

Connected through hyperedge HE-3 (induced by source paper "the projection games conjecture and the hardness of approximation of ssat and related problems"):
  with members:
    - "gap s eth hardness of svp"
    - "on the quantitative hardness of cvp"
    - "classical hardness of learning with errors"
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"

Connected through hyperedge HE-4 (induced by source paper "improved algorithms for the shortest vector problem and the closest vector problem in the infinity norm"):
  with members:
    - "just take the average an embarrassingly simple 2 n time algorithm for svp and cvp"
    - "on the quantitative hardness of cvp"
    - "solving the shortest vector problem in 2 n time via discrete gaussian sampling"

Connected through hyperedge HE-5 (induced by source paper "lattice sparsification and the approximate closest vector problem"):
  with members:
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"
    - "a o 1 eps 2 n time sieving algorithm for approximate integer programming"
    - "enumerative lattice algorithms in any norm via m ellipsoid coverings"
    - "improved analysis of kannan s shortest lattice vector algorithm"

Connected through hyperedge HE-6 (induced by source paper "enumerative lattice algorithms in any norm via m ellipsoid coverings"):
  with members:
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"
    - "improved analysis of kannan s shortest lattice vector algorithm"

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)