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: "labeling schemes for bounded degree graphs"
  Abstract: We investigate adjacency labeling schemes for graphs of bounded degree $\Delta = O(1)$. In particular, we present an optimal (up to an additive constant) $\log n + O(1)$ adjacency labeling scheme for bounded degree trees. The latter scheme is derived from a labeling scheme for bounded degree outerplanar graphs. Our results complement a similar bound recently obtained for bounded depth trees [Fraigniaud and Korman, SODA 10], and may provide new insights for closing the long standing gap for adjacency in trees [Alstrup and Rauhe, FOCS 02]. We also provide improved labeling schemes for bounded degree planar graphs. Finally, we use combinatorial number systems and present an improved adjacency labeling schemes for graphs of bounded degree $\Delta$ with $(e+1)\sqrt{n} < \Delta \leq n/5$.

Connected through hyperedge HE-1 (induced by source paper "adjacency labelling for planar graphs and beyond"):
  with members:
    - "planar graphs have bounded queue number"
    - "shorter labeling schemes for planar graphs"
    - "an annotated bibliography on 1 planarity"
    - "near optimal induced universal graphs for bounded degree graphs"
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear distance labeling"
    - "distance labeling schemes for trees"

Connected through hyperedge HE-2 (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"
    - "near optimal labeling schemes for nearest common ancestors"

Connected through hyperedge HE-3 (induced by source paper "optimal induced universal graphs and adjacency labeling for trees"):
  with members:
    - "an optimal ancestry labeling scheme with applications to xml trees and universal posets"
    - "popular conjectures as a barrier for dynamic planar graph algorithms"
    - "near optimal induced universal graphs for bounded degree graphs"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear distance labeling"
    - "a simple and optimal ancestry labeling scheme for trees"
    - "adjacency labeling schemes and induced universal graphs"
    - "succinct representations of permutations and functions"

Connected through hyperedge HE-4 (induced by source paper "near optimal adjacency labeling scheme for power law graphs"):
  with members:
    - "adjacency labeling schemes and induced universal graphs"
    - "dynamic and multi functional labeling schemes"
    - "community structure in large networks natural cluster sizes and the absence of large well defined clusters"
    - "general compact labeling schemes for dynamic trees"

Connected through hyperedge HE-5 (induced by source paper "dynamic and multi functional labeling schemes"):
  with members:
    - "improved ancestry labeling scheme for trees"
    - "near optimal labeling schemes for nearest common ancestors"
    - "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.DM(Discrete Mathematics)