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: "new routing techniques and their applications"
  Abstract: Let $G=(V,E)$ be an undirected graph with $n$ vertices and $m$ edges. We obtain the following new routing schemes: #R##N#- A routing scheme for unweighted graphs that uses $\tilde O(\frac{1}{\epsilon} n^{2/3})$ space at each vertex and $\tilde O(1/\epsilon)$-bit headers, to route a message between any pair of vertices $u,v\in V$ on a $(2 + \epsilon,1)$-stretch path, i.e., a path of length at most $(2+\epsilon)\cdot d(u,v)+1$. This should be compared to the $(2,1)$-stretch and $\tilde O(n^{5/3})$ space distance oracle of Patrascu and Roditty [FOCS'10 and SIAM J. Comput. 2014] and to the $(2,1)$-stretch routing scheme of Abraham and Gavoille [DISC'11] that uses $\tilde O( n^{3/4})$ space at each vertex. #R##N#- A routing scheme for weighted graphs with normalized diameter $D$, that uses $\tilde O(\frac{1}{\epsilon} n^{1/3}\log D)$ space at each vertex and $\tilde O(\frac{1}{\epsilon}\log D)$-bit headers, to route a message between any pair of vertices on a $(5+\epsilon)$-stretch path. This should be compared to the $5$-stretch and $\tilde O(n^{4/3})$ space distance oracle of Thorup and Zwick [STOC'01 and J. ACM. 2005] and to the $7$-stretch routing scheme of Thorup and Zwick [SPAA'01] that uses $\tilde O( n^{1/3})$ space at each vertex. Since a $5$-stretch routing scheme must use tables of $\Omega( n^{1/3})$ space our result is almost tight. #R##N#- For an integer $\ell>1$, a routing scheme for unweighted graphs that uses $\tilde O(\ell\frac{1}{\epsilon} n^{\ell/(2\ell \pm 1)})$ space at each vertex and $\tilde O(\frac{1}{\epsilon})$-bit headers, to route a message between any pair of vertices on a $(3\pm2/\ell+\epsilon,2)$-stretch path. #R##N#- A routing scheme for weighted graphs, that uses $\tilde O(\frac{1}{\epsilon}n^{1/k}\log D)$ space at each vertex and $\tilde O(\frac{1}{\epsilon}\log D)$-bit headers, to route a message between any pair of vertices on a $(4k-7+\epsilon)$-stretch path.

Connected through hyperedge HE-1 (induced by source paper "routing in unit disk graphs without dynamic headers"):
  with members:
    - "routing in polygonal domains"

Connected through hyperedge HE-2 (induced by source paper "routing in histograms"):
  with members:
    - "plane hop spanners for unit disk graphs simpler and better"
    - "routing in unit disk graphs"
    - "routing in polygonal domains"
    - "constant approximation algorithms for guarding simple polygons using vertex guards"
    - "optimal local routing on delaunay triangulations defined by empty equilateral triangles"
    - "competitive local routing with constraints"
    - "approximability of guarding weak visibility polygons"

Connected through hyperedge HE-3 (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"
    - "near optimal labeling schemes for nearest common ancestors"

Connected through hyperedge HE-4 (induced by source paper "routing in polygonal domains"):
  with members:
    - "routing in unit disk graphs"
    - "routing on the visibility graph"
    - "constrained routing between non visible vertices"
    - "the θ 5 graph is a spanner"
    - "towards tight bounds on theta graphs"
    - "optimal local routing on delaunay triangulations defined by empty equilateral triangles"
    - "competitive local routing with constraints"
    - "new and improved spanning ratios for yao graphs"

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)