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: "even simpler distance labeling for sparse graphs"
  Abstract: We propose a labeling scheme for unweighted undirected graphs, that is an assignment of binary labels to vertices of a graph such that the distance between any pair of vertices can be decoded solely from their labels. Recently, Alstrup, Dahlgaard, Knudsen, and Porat (2015) have shown a labeling scheme for sparse graphs with labels of size $O(\frac{n}{D} \log^2 D)$ where $D = \frac{\log n}{\log \frac{m+n}{n}}$. We present a simpler approach achieving size $O(\frac{n}{D} \log D)$ with $O(n^\varepsilon)$ decoding time. Based on similar techniques we also present a scheme for general graphs with labels of size $\frac{\log 3}{2}n + o(n)$ with small decoding time (any $\omega(1)$ decoding time is possible), or labels of size $(\frac{\log 3}{2}+\varepsilon) n$ and decoding time $O(1)$. This almost matches the currently best scheme of Alstrup, Gavoille, Halvorsen, and Petersen (2015) which uses labels of size $\frac{\log 3}{2}n + o(n)$ with decoding time $O(1)$. We believe our simple techniques are of independent value and provide a desirable simplification of the previous approaches.

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)