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: "going for speed sublinear algorithms for dense r csps"
  Abstract: We give new sublinear and parallel algorithms for the extensively studied problem of approximating n-variable r-CSPs (constraint satisfaction problems with constraints of arity r up to an additive error. The running time of our algorithms is O(n/\epsilon^2) + 2^O(1/\epsilon^2) for Boolean r-CSPs and O(k^4 n / \epsilon^2) + 2^O(log k / \epsilon^2) for r-CSPs with constraints on variables over an alphabet of size k. For any constant k this gives optimal dependence on n in the running time unconditionally, while the exponent in the dependence on 1/\epsilon is polynomially close to the lower bound under the exponential-time hypothesis, which is 2^\Omega(\epsilon^(-1/2)). #R##N#For Max-Cut this gives an exponential improvement in dependence on 1/\epsilon compared to the sublinear algorithms of Goldreich, Goldwasser and Ron (JACM'98) and a linear speedup in n compared to the algorithms of Mathieu and Schudy (SODA'08). For the maximization version of k-Correlation Clustering problem our running time is O(k^4 n / \epsilon^2) + k^O(1/\epsilon^2), improving the previously best n k^{O(1/\epsilon^3 log k/\epsilon) by Guruswami and Giotis (SODA'06).

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)