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: "computing the girth of a planar graph in linear time"
  Abstract: The girth of a graph is the minimum weight of all simple cycles of the graph. We study the problem of determining the girth of an $n$-node unweighted undirected planar graph. The first nontrivial algorithm for the problem, given by Djidjev, runs in $O(n^{5/4}\log n)$ time. Chalermsook, Fakcharoenphol, and Nanongkai reduced the running time to $O(n\log^2 n)$. Weimann and Yuster further reduced the running time to $O(n\log n)$. In this paper, we solve the problem in $O(n)$ time.

Connected through hyperedge HE-1 (induced by source paper "triangles and girth in disk graphs and transmission graphs"):
  with members:
    - "spanners for directed transmission graphs"
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "powers of tensors and fast matrix multiplication"
    - "minimum weight cycles and triangles equivalences and algorithms"

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"
    - "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"
    - "linear space approximate distance oracles for planar bounded genus and minor free graphs"

Connected through hyperedge HE-3 (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-4 (induced by source paper "efficient enumeration of subgraphs and induced subgraphs with bounded girth"):
  with members:
    - "efficient enumeration of dominating sets for sparse graphs"
    - "bypassing erd h o s girth conjecture hybrid stretch and sourcewise spanners"
    - "efficient enumeration of induced subtrees in a k degenerate graph"

Connected through hyperedge HE-5 (induced by source paper "minimum cuts and shortest cycles in directed planar graphs via noncrossing shortest paths"):
  with members:
    - "minimum cut of directed planar graphs in o nloglogn time"
    - "submatrix maximum queries in monge matrices are equivalent to predecessor search"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "algorithmic applications of baur strassen s theorem shortest cycles diameter and matchings"
    - "shortest non trivial cycles in directed and undirected surface graphs"
    - "shortest paths in planar graphs with real lengths in o n log 2n log log n time"
    - "optimally cutting a surface into a disk"
    - "minimum cuts in near linear time"

Connected through hyperedge HE-6 (induced by source paper "minimum cut of directed planar graphs in o nloglogn time"):
  with members:
    - "multiple source shortest paths in embedded graphs"
    - "girth of a planar digraph with real edge weights in o n log n 3 time"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-7 (induced by source paper "faster shortest paths in dense distance graphs with applications"):
  with members:
    - "improved bounds for shortest paths in dense distance graphs"
    - "minimum cut of directed planar graphs in o nloglogn time"
    - "improved submatrix maximum queries in monge matrices"
    - "maximum st flow in directed planar graphs via shortest paths"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "multiple source shortest paths in embedded graphs"
    - "multiple source multiple sink maximum flow in directed planar graphs in near linear time"
    - "min st cut oracle for planar graphs with near linear preprocessing 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)