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: "optimal induced universal graphs and adjacency labeling for trees"
  Abstract: We show that there exists a graph $G$ with $O(n)$ nodes, where any forest of $n$ nodes is a node-induced subgraph of $G$. Furthermore, for constant arboricity $k$, the result implies the existence of a graph with $O(n^k)$ nodes that contains all $n$-node graphs as node-induced subgraphs, matching a $\Omega(n^k)$ lower bound. The lower bound and previously best upper bounds were presented in Alstrup and Rauhe (FOCS'02). Our upper bounds are obtained through a $\log_2 n +O(1)$ labeling scheme for adjacency queries in forests. #R##N#We hereby solve an open problem being raised repeatedly over decades, e.g. in Kannan, Naor, Rudich (STOC 1988), Chung (J. of Graph Theory 1990), Fraigniaud and Korman (SODA 2010).

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"
    - "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"
    - "a simple and optimal ancestry labeling scheme for trees"

Connected through hyperedge HE-2 (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"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear distance labeling"
    - "distance labeling schemes for trees"
    - "adjacency labeling schemes and induced universal graphs"

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"
    - "contact representations of graphs in 3d"
    - "sublinear distance labeling"
    - "distance labeling schemes for trees"

Connected through hyperedge HE-4 (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"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear space distance labeling using hubs"
    - "new routing techniques and their applications"
    - "near optimal labeling schemes for nearest common ancestors"

Connected through hyperedge HE-5 (induced by source paper "on density of subgraphs of cartesian products"):
  with members:
    - "on density of subgraphs of halved cubes"

Connected through hyperedge HE-6 (induced by source paper "optimal distance labeling schemes for trees"):
  with members:
    - "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"
    - "near optimal labeling schemes for nearest common ancestors"
    - "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-7 (induced by source paper "an optimal ancestry labeling scheme with applications to xml trees and universal posets"):
  with members:
    - "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"
    - "labeling schemes for bounded degree graphs"

Connected through hyperedge HE-8 (induced by source paper "simpler faster and shorter labels for distances in graphs"):
  with members:
    - "adjacency labeling schemes and induced universal graphs"
    - "near optimal labeling schemes for nearest common ancestors"
    - "fast exact shortest path distance queries on large networks by pruned landmark labeling"
    - "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)