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: "efficient vertex label distance oracles for planar graphs"
  Abstract: We consider distance queries in vertex-labeled planar graphs. For any fixed $0 < \epsilon \leq 1/2$ we show how to preprocess a directed planar graph with vertex labels and arc lengths into a data structure that answers queries of the following form. Given a vertex $u$ and a label $\lambda$ return a $(1+\epsilon)$-approximation of the distance from $u$ to its closest vertex with label $\lambda$. For a directed planar graph with $n$ vertices, such that the ratio of the largest to smallest arc length is bounded by $N$, the preprocessing time is $O(\epsilon^{-2}n\lg^{3}{n}\lg(nN))$, the data structure size is $O(\epsilon^{-1}n\lg{n}\lg(nN))$, and the query time is $O(\lg\lg{n}\lg\lg(nN) + \epsilon^{-1})$. We also point out that a vertex label distance oracle for undirected planar graphs suggested in an earlier version of this paper is incorrect.

Connected through hyperedge HE-1 (induced by source paper "succinct data structure for nearest colored node in a tree"):
  with members:
    - "compressed subsequence matching and packed tree coloring"
    - "succinct representation of labeled trees"
    - "the power of dynamic distance oracles efficient dynamic algorithms for the steiner tree"
    - "new lower and upper bounds for representing sequences"
    - "improved distance oracles and spanners for vertex labeled graphs"
    - "optimal succinctness for range minimum queries"

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)