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: "sublinear distance labeling"
  Abstract: A distance labeling scheme labels the $n$ nodes of a graph with binary strings such that, given the labels of any two nodes, one can determine the distance in the graph between the two nodes by looking only at the labels. A $D$-preserving distance labeling scheme only returns precise distances between pairs of nodes that are at distance at least $D$ from each other. In this paper we consider distance labeling schemes for the classical case of unweighted graphs with both directed and undirected edges. #R##N#We present a $O(\frac{n}{D}\log^2 D)$ bit $D$-preserving distance labeling scheme, improving the previous bound by Bollob\'as et. al. [SIAM J. Discrete Math. 2005]. We also give an almost matching lower bound of $\Omega(\frac{n}{D})$. With our $D$-preserving distance labeling scheme as a building block, we additionally achieve the following results: #R##N#1. We present the first distance labeling scheme of size $o(n)$ for sparse graphs (and hence bounded degree graphs). This addresses an open problem by Gavoille et. al. [J. Algo. 2004], hereby separating the complexity from distance labeling in general graphs which require $\Omega(n)$ bits, Moon [Proc. of Glasgow Math. Association 1965]. #R##N#2. For approximate $r$-additive labeling schemes, that return distances within an additive error of $r$ we show a scheme of size $O\left ( \frac{n}{r} \cdot\frac{\operatorname{polylog} (r\log n)}{\log n} \right )$ for $r \ge 2$. This improves on the current best bound of $O\left(\frac{n}{r}\right)$ by Alstrup et. al. [SODA 2016] for sub-polynomial $r$, and is a generalization of a result by Gawrychowski et al. [arXiv preprint 2015] who showed this for $r=2$.

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"
    - "distance labeling schemes for trees"
    - "adjacency labeling schemes and induced universal graphs"

Connected through hyperedge HE-2 (induced by source paper "hardness of exact distance queries in sparse graphs through hub labeling"):
  with members:
    - "near optimal compression for the planar graph metric"
    - "a note on distance labeling in planar graphs"
    - "linear size distance preservers"
    - "optimal distance labeling schemes for trees"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear space distance labeling using hubs"
    - "maximum matching in turnstile streams"
    - "distance labeling schemes for trees"

Connected through hyperedge HE-3 (induced by source paper "universal communication universal graphs and graph labeling"):
  with members:
    - "near log convexity of measured heat in discrete time and consequences"
    - "the power of shared randomness in uncertain communication"
    - "an optimal ancestry labeling scheme with applications to xml trees and universal posets"
    - "on the implicit graph conjecture"
    - "communication with contextual uncertainty"
    - "optimal induced universal graphs and adjacency labeling for trees"
    - "contact representations of graphs in 3d"
    - "distance labeling schemes for trees"

Connected through hyperedge HE-4 (induced by source paper "exploiting hopsets improved distance oracles for graphs of constant highway dimension and beyond"):
  with members:
    - "linear size hopsets with small hopbound and distributed routing with low memory"
    - "fast and compact exact distance oracle for planar graphs"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "beyond highway dimension small distance labels using tree skeletons"
    - "algorithmic and hardness results for the hub labeling problem"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "sublinear space distance labeling using hubs"

Connected through hyperedge HE-5 (induced by source paper "distance and routing labeling schemes for cube free median graphs"):
  with members:
    - "on density of subgraphs of cartesian products"
    - "a polynomial time algorithm to compute geodesics in cat 0 cubical complexes"
    - "a counterexample to thiagarajan s conjecture on regular event structures"
    - "a note on distance labeling in planar graphs"
    - "simpler faster and shorter labels for distances in graphs"
    - "distance labeling schemes for trees"
    - "shortest path problem in rectangular complexes of global nonpositive curvature"
    - "state complexes for metamorphic robots"

Connected through hyperedge HE-6 (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"
    - "a simple and optimal ancestry labeling scheme for trees"
    - "adjacency labeling schemes and induced universal graphs"
    - "labeling schemes for bounded degree graphs"
    - "succinct representations of permutations and functions"

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)