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: "exact distance oracles for planar graphs"
  Abstract: We present new and improved data structures that answer exact node-to-node distance queries in planar graphs. Such data structures are also known as distance oracles. For any directed planar graph on n nodes with non-negative lengths we obtain the following: #R##N#* Given a desired space allocation $S\in[n\lg\lg n,n^2]$, we show how to construct in $\tilde O(S)$ time a data structure of size $O(S)$ that answers distance queries in $\tilde O(n/\sqrt S)$ time per query. #R##N#As a consequence, we obtain an improvement over the fastest algorithm for k-many distances in planar graphs whenever $k\in[\sqrt n,n)$. #R##N#* We provide a linear-space exact distance oracle for planar graphs with query time $O(n^{1/2+eps})$ for any constant eps>0. This is the first such data structure with provable sublinear query time. #R##N#* For edge lengths at least one, we provide an exact distance oracle of space $\tilde O(n)$ such that for any pair of nodes at distance D the query time is $\tilde O(min {D,\sqrt n})$. Comparable query performance had been observed experimentally but has never been explained theoretically. #R##N#Our data structures are based on the following new tool: given a non-self-crossing cycle C with $c = O(\sqrt n)$ nodes, we can preprocess G in $\tilde O(n)$ time to produce a data structure of size $O(n \lg\lg c)$ that can answer the following queries in $\tilde O(c)$ time: for a query node u, output the distance from u to all the nodes of C. This data structure builds on and extends a related data structure of Klein (SODA'05), which reports distances to the boundary of a face, rather than a cycle. #R##N#The best distance oracles for planar graphs until the current work are due to Cabello (SODA'06), Djidjev (WG'96), and Fakcharoenphol and Rao (FOCS'01). For $\sigma\in(1,4/3)$ and space $S=n^\sigma$, we essentially improve the query time from $n^2/S$ to $\sqrt{n^2/S}$.

Connected through hyperedge HE-1 (induced by source paper "a divide and conquer algorithm for two point l_1 shortest path queries in polygonal domains"):
  with members:
    - "l_1 shortest path queries in simple polygons"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "computing l1 shortest paths among polygonal obstacles in the plane"

Connected through hyperedge HE-2 (induced by source paper "holiest minimum cost paths and flows in surface graphs"):
  with members:
    - "minimum cycle and homology bases of surface embedded graphs"
    - "minimum cut of directed planar graphs in o nloglogn time"
    - "faster parametric shortest path and minimum balance algorithms"
    - "all pairs minimum cuts in near linear time for surface embedded graphs"
    - "computing the girth of a planar graph in linear time"
    - "lattices and maximum flow algorithms in planar graphs"
    - "multiple source shortest paths in embedded graphs"
    - "multiple source multiple sink maximum flow in directed planar graphs in near linear time"

Connected through hyperedge HE-3 (induced by source paper "almost optimal distance oracles for planar graphs"):
  with members:
    - "holiest minimum cost paths and flows in surface graphs"
    - "exact distance oracles for planar graphs with failing vertices"
    - "constant query time 1 epsilon approximate distance oracle for planar graphs"
    - "fast and compact exact distance oracle for planar graphs"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "subquadratic algorithms for the diameter and the sum of pairwise distances in planar graphs"
    - "approximate distance oracles for planar graphs with improved query time space tradeoff"
    - "minimum cut of directed planar graphs in o nloglogn time"

Connected through hyperedge HE-4 (induced by source paper "near optimal distance emulator for planar graphs"):
  with members:
    - "near optimal compression for the planar graph metric"
    - "subquadratic algorithms for the diameter and the sum of pairwise distances in planar graphs"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "linear size distance preservers"
    - "graph minors for preserving terminal distances approximately lower and upper bounds"
    - "a linear size logarithmic stretch path reporting distance oracle for general graphs"
    - "sublinear space distance labeling using hubs"
    - "submatrix maximum queries in monge matrices are equivalent to predecessor search"

Connected through hyperedge HE-5 (induced by source paper "exact distance oracles for planar graphs with failing vertices"):
  with members:
    - "almost optimal distance oracles for planar graphs"
    - "fast and compact exact distance oracle for planar graphs"
    - "voronoi diagrams on planar graphs and computing the diameter in deterministic tilde o n 5 3 time"
    - "improved bounds for shortest paths in dense distance graphs"
    - "popular conjectures as a barrier for dynamic planar graph algorithms"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "multiple source shortest paths in embedded graphs"
    - "shortest paths in planar graphs with real lengths in o n log 2n log log n time"

Connected through hyperedge HE-6 (induced by source paper "dynamic all scores matrices for lcs score"):
  with members:
    - "fast and compact exact distance oracle for planar graphs"
    - "multiple source shortest paths in embedded graphs"
    - "semi local string comparison algorithmic techniques and applications"

Connected through hyperedge HE-7 (induced by source paper "decremental single source reachability in planar digraphs"):
  with members:
    - "faster algorithms for computing maximal 2 connected subgraphs in sparse directed graphs"
    - "improved bounds for shortest paths in dense distance graphs"
    - "fully dynamic maximal matching in constant update time"
    - "popular conjectures as a barrier for dynamic planar graph algorithms"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "improved algorithms for decremental single source reachability on directed graphs"
    - "sublinear time decremental algorithms for single source reachability and shortest paths on directed graphs"
    - "popular conjectures imply strong lower bounds for dynamic problems"

Connected through hyperedge HE-8 (induced by source paper "subquadratic algorithms for the diameter and the sum of pairwise distances in planar graphs"):
  with members:
    - "fast and compact exact distance oracle for planar graphs"
    - "voronoi diagrams on planar graphs and computing the diameter in deterministic tilde o n 5 3 time"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "faster shortest paths in dense distance graphs with applications"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "multiple source shortest paths in embedded graphs"
    - "approximating the diameter of planar graphs in near linear time"

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)