human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "improved bounds for shortest paths in dense distance graphs"):
  Abstract: We study the problem of computing shortest paths in so-called dense distance graphs. Every planar graph $G$ on $n$ vertices can be partitioned into a set of $O(n/r)$ edge-disjoint regions (called an $r$-division) with $O(r)$ vertices each, such that each region has $O(\sqrt{r})$ vertices (called boundary vertices) in common with other regions. A dense distance graph of a region is a complete graph containing all-pairs distances between its boundary nodes. A dense distance graph of an $r$-division is the union of the $O(n/r)$ dense distance graphs of the individual pieces. Since the introduction of dense distance graphs by Fakcharoenphol and Rao, computing single-source shortest paths in dense distance graphs has found numerous applications in fundamental planar graph algorithms. #R##N#Fakcharoenphol and Rao proposed an algorithm (later called FR-Dijkstra) for computing single-source shortest paths in a dense distance graph in $O\left(\frac{n}{\sqrt{r}}\log{n}\log{r}\right)$ time. We show an $O\left(\frac{n}{\sqrt{r}}\left(\frac{\log^2{r}}{\log^2\log{r}}+\log{n}\log^{\epsilon}{r}\right)\right)$ time algorithm for this problem, which is the first improvement to date over FR-Dijkstra for the important case when $r$ is polynomial in $n$. In this case, our algorithm is faster by a factor of $O(\log^2{\log{n}})$ and implies improved upper bounds for such planar graph problems as multiple-source multiple-sink maximum flow, single-source all-sinks maximum flow, and (dynamic) exact distance oracles.

Includes members:
  Member "submatrix maximum queries in monge matrices are equivalent to predecessor search":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "near optimal distance emulator for planar graphs")
  Member "faster shortest paths in dense distance graphs with applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "subquadratic algorithms for the diameter and the sum of pairwise distances in planar graphs")
  Member "all pairs minimum cuts in near linear time for surface embedded graphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "minimum cuts in surface graphs")
  Member "structured recursive separator decompositions for planar graphs in linear time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the edge crossings of the greedy spanner")
  Member "randomized speedup of the bellman ford algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "bounded dijkstra bd search space reduction for expediting shortest path subroutines")
  Member "min st cut oracle for planar graphs with near linear preprocessing time":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "minimum cuts in surface graphs")
  Member "exact distance oracles for planar graphs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a divide and conquer algorithm for two point l_1 shortest path queries in polygonal domains")
  Member "shortest paths in planar graphs with real lengths in o n log 2n log log n time":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "level planar drawings with few slopes")

Question: Please tell me which class the source paper 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)