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: "near optimal labeling schemes for nearest common ancestors"
  Abstract: We consider NCA labeling schemes: given a rooted tree T, label the nodes of T with binary strings such that, given the labels of any two nodes, one can determine, by looking only at the labels, the label of their nearest common ancestor.#R##N##R##N#For trees with n nodes we present upper and lower bounds establishing that labels of size (2 ± e)log n, e < 1 are both sufficient and necessary.#R##N##R##N#Alstrup, Bille, and Rauhe (SIDMA'05) showed that ancestor and NCA labeling schemes have labels of size log n + Ω(log log n). Our lower bound increases this to log n + Ω(log n) for NCA labeling schemes. Since Fraigniaud and Korman (STOC'10) established that labels in ancestor labeling schemes have size log n + Θ(log log n), our new lower bound separates ancestor and NCA labeling schemes. Our upper bound improves the 10 log n upper bound by Alstrup, Gavoille, Kaplan and Rauhe (TOCS'04), and our theoretical result even outperforms some recent experimental studies by Fischer (ESA'09) where variants of the same NCA labeling scheme are shown to all have labels of size approximately 8 log n.

Connected through hyperedge HE-1 (induced by source paper "shorter labels for routing in trees"):
  with members:
    - "near optimal compression for the planar graph metric"
    - "a note on distance labeling in planar graphs"
    - "optimal distance labeling schemes for trees"
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear space distance labeling using hubs"
    - "near optimal adjacency labeling scheme for power law graphs"
    - "distance labeling schemes for trees"

Connected through hyperedge HE-2 (induced by source paper "shorter labeling schemes for planar graphs"):
  with members:
    - "planar graphs as l intersection or l contact graphs"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "optimal distance labeling schemes for trees"
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear space distance labeling using hubs"
    - "new routing techniques and their applications"

Connected through hyperedge HE-3 (induced by source paper "nearest common ancestors universal trees and improved labeling schemes"):
  with members:
    - "better labeling schemes for nearest common ancestors through minor universal trees"

Connected through hyperedge HE-4 (induced by source paper "optimal distance labeling schemes for trees"):
  with members:
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "simpler faster and shorter labels for distances in graphs"
    - "near optimal adjacency labeling scheme for power law graphs"
    - "adjacency labeling schemes and induced universal graphs"
    - "fast exact shortest path distance queries on large networks by pruned landmark labeling"
    - "new lower and upper bounds for representing sequences"

Connected through hyperedge HE-5 (induced by source paper "an optimal ancestry labeling scheme with applications to xml trees and universal posets"):
  with members:
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "improved ancestry labeling scheme for trees"
    - "a simple and optimal ancestry labeling scheme for trees"
    - "adjacency labeling schemes and induced universal graphs"
    - "labeling schemes for bounded degree graphs"

Connected through hyperedge HE-6 (induced by source paper "distance labeling schemes for trees"):
  with members:
    - "simpler faster and shorter labels for distances in graphs"
    - "prioritized metric structures and embedding"
    - "adjacency labeling schemes and induced universal graphs"
    - "succinct representations of permutations and functions"
    - "labeling schemes with queries"

Connected through hyperedge HE-7 (induced by source paper "simpler faster and shorter labels for distances in graphs"):
  with members:
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "adjacency labeling schemes and induced universal graphs"
    - "fast exact shortest path distance queries on large networks by pruned landmark labeling"
    - "succinct representations of permutations and functions"

Connected through hyperedge HE-8 (induced by source paper "dynamic and multi functional labeling schemes"):
  with members:
    - "improved ancestry labeling scheme for trees"
    - "labeling schemes for bounded degree graphs"
    - "succinct data structures for representing equivalence classes"
    - "general compact labeling schemes for dynamic trees"

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)