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: "on the approximation of maximum k vertex cover in bipartite graphs"
  Abstract: Given a graph$G=(V,E)$ with $n$ vertices and an integer $k \leqslant n$, the Maximum $k$-Cover problem consists of determining a subset $K \subseteq V$, of cardinality at most $k$ that covers the most of edges in $E$. We study the polynomial approximation of Max-$k$-Cover in bipartite graphs by a purely combinatorial algorithm. With a computer-assisted analysis, we show that bipartite Max-$k$-Cover is approximable within ratio 0.794 and present an experimental analysis of it that finds the worst case approximation guarantee that is bounded below by 0.794. This improves on the currently best known 3/4-approximation ratio for general graphs (A. A. Ageev and M. Sviridenko, \textit{Approximation algorithms for maximum coverage and max cut with given sizes of parts}, Proc. IPCO'99).

Connected through hyperedge HE-1 (induced by source paper "combinatorial approximation of maximum k vertex cover in bipartite graphs within ratio 0 7"):
  with members:
    - "approximating low dimensional coverage problems"
    - "max cut and the smallest eigenvalue"

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)